DEV Community: SHIBAM

Intent-Driven Assertions are Redefining How We Test Software

SHIBAM — Thu, 06 Nov 2025 14:00:00 +0000

Picture this: your QA team just rolled out a comprehensive new test suite; polished, precise, and built to catch every bug. Yet soon after, half the tests fail. Not because the code is broken, but because the design team shifted a button slightly. And even when the tests pass, users still find issues in production. A familiar story?

End-to-end testing was meant to bridge that gap. This is how teams verify that complete user workflows actually work the way users expect them to. It's testing from the user's perspective; can they log in, complete a transaction, see their data?

The Real Problem Isn't Maintenance. It's Misplaced Focus.

Maintaining traditional UI tests often feels endless. Hard-coded selectors break with every UI tweak, which happens nearly every sprint. A clean, well-structured test suite quickly turns into a maintenance marathon. Then come the flaky tests: scripts that fail because a button isn’t visible yet or an overlay momentarily blocks it. The application might work perfectly, yet the test still fails, creating unpredictable false alarms and eroding trust in test results.

The real issue lies in what’s being validated. Conventional assertions often focus on technical details- like whether a div.class-name-xy exists or a CSS selector returns a value, rather than confirming that the user experience actually works.

The problem with this approach is that it tests how something is implemented, not whether it works for the user. As a result, a test might pass even when the actual experience is broken, giving teams a false sense of confidence and wasting valuable debugging time.

Some common solutions attempt to bridge that gap. Teams experiment with smarter locators, dynamic waits, self-healing scripts, or visual validation tools to reduce flakiness. Others lean on behavior-driven frameworks such as Cucumber, SpecFlow, or Gauge to describe tests in plain, human-readable language. These approaches make progress, but they still rely on predefined selectors and rigid code structures that don’t always adapt when the UI or business logic changes.

What’s really needed is a shift in perspective : one that focuses on intent rather than implementation. Testing should understand what you’re trying to validate, not just how the test is written.

That’s exactly where Harness builds on these foundations. By combining AI understanding with intent-driven, natural language assertions, it goes beyond behavior-driven testing, actually turning human intent directly into executable validation.

What Are Intent-Driven Natural Language Assertions?

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Harness AI Test Automation reimagines testing from the ground up. Instead of writing brittle scripts tied to UI selectors, it allows testers to describe what they actually want to verify, in plain, human language.

Think of it as moving from technical validation to intent validation. Rather than writing code to confirm whether a button exists, you can simply ask:

“Did the login succeed?” or
“Is the latest transaction a deposit?”.

Behind the scenes, Harness AI interprets these statements dynamically, understanding both the context and the intent of the test. It evaluates the live state of the application to ensure assertions reflect real business logic, not just surface-level UI details.

This shift is more than a technical improvement; it’s a cultural one. It democratizes testing, empowering anyone on the team, from developers to product managers, to contribute meaningful and resilient checks. The result is faster test creation, easier maintenance, and validations that truly align with what users care about: a working, seamless experience.

Harness describes this as "Intent-based Testing", where tests express what matters rather than how to check it, enabling developers and QA teams to focus on outcomes, not implementation details.

Harness AI Test Automation Solving Traditional Testing Issues

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Traditional automation for end-to-end testing/UI testing often breaks when UIs change, leading to high maintenance overhead and flaky results. Playwright, Selenium, or Cypress scripts frequently fail because they depend on exact element paths or hardcoded data, which makes CI/CD pipelines brittle.

Industry statistics reveal that 70-80% of organizations still rely heavily on manual testing methods, creating significant bottlenecks in otherwise automated DevOps toolchains. Source

Harness AI Test Automation addresses these issues by leveraging AI-powered assertions that dynamically adapt to the live page or API context. Benefits include:

Reduced flakiness: Tests automatically handle UI changes without manual intervention
Lower maintenance costs: AI-generated selectors eliminate constant rewriting of selectors or brittle logic
Focus on business logic: Teams concentrate on verifying user-centric outcomes rather than technical details
Faster and No-Code test creation: Organizations report 10x faster test creation and the ability to cut test creation time by up to 90%

Organizations using AI Test Automation see up to 70% less maintenance effort and significant improvements in release velocity.

How Harness AI Test Understands and Validates Your Intent

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Harness uses large language models (LLMs) optimized for testing contexts. The AI:

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Understands Your Intent: The AI parses your natural language assertion to grasp what you're trying to verify, for example, “Did the login succeed?" or “Is the button visible after submission?"
**Analyzes Real Application Context: **It evaluates the live state of your application by analyzing the HTML DOM and the rendered viewport. This provides the AI with a comprehensive understanding of the app's current behavior, structure, and visual presentation.
Maintains Context History: It keeps a record of previous steps and results, so the AI can use historical context when validating new assertions.
Learns from Past Runs: Outputs from prior test executions are stored and referenced, allowing future assertions to become more accurate and context-aware over time.
Provides Detailed Reasoning: Instead of just marking a test as “pass” or “fail,” the AI explains why, offering insights backed by both visual and structural evidence.

Together, these layers of intelligence make Harness AI Assertions not just smarter but contextually aware, giving you a more human-like and reliable testing experience every time you run your pipeline.

This context-aware approach identifies subtle bugs that are often missed by traditional tests and reduces the risks associated with AI “hallucinations.” Hybrid verification techniques cross-check outputs against real-time data, ensuring reliability.

For example, when testing a dynamic transaction table, an assertion like “Verify the latest transaction is a deposit over $500” will succeed even if the table order changes or new rows are added. Harness adapts automatically without requiring code changes
‍Harness Blog on AI Test Automation.
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Crucially, we are not asking the AI to generate code (although for some math questions it might) and then never consult it again; we actually ask the AI this question with the context of the webpage every time you run the test.

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Successful or not, the assertion will also give you back reasoning as to why it is true:

How Teams Use Harness AI Assertions

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Organizations across fintech, SaaS, and e-commerce are using Harness AI to simplify complex testing scenarios:

Financial services: Validating transaction tables and workflows with natural language assertions.
SaaS platforms: Checking onboarding flows and dynamic permission rules.
E-commerce: Confirming discount logic and inventory updates dynamically.
Healthcare: Transforming test creation from days to minutes

Even less-technical users can author and maintain robust tests. Auto-suggested assertions and natural language prompts accelerate collaboration across QA, developers, and product teams.

You can also perform assertions based on parameters.

An early adopter reported that after integrating Harness AI Assertions, release verification time dropped by more than 50%, freeing QA teams to focus on higher-value work. DevOpsDigest coverage

Transforming QA with Harness AI: Faster, Smarter, Reliable

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Harness AI Test Automation empowers teams to move faster with confidence. Key benefits include:

Faster test creation: Write robust assertions in minutes rather than hours.
Reduced test maintenance: Fewer broken scripts and less manual debugging.
Improved collaboration: Align developers, testers, and product managers around shared intent.
Future-ready QA: Supports modern DevOps practices and continuous delivery pipelines.

Harness AI Test Automation turns traditional QA challenges into opportunities for smarter, more reliable automation, enabling organizations to release software faster while maintaining high quality.

Harness AI is to test what intelligent assistants are to coding: it allows humans to focus on strategy, intent, and value, while the AI handles repetitive validation (Harness AI Test Automation).

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Harness AI Test Automation represents a paradigm shift in testing. By combining intent-driven natural language assertions, AI-powered context awareness, and self-adapting validation, it empowers teams to deliver reliable software faster and with less friction.

Introduction to Alibaba Cloud RDS (Relational Database Service) Management

SHIBAM — Sun, 10 Aug 2025 06:51:31 +0000

Introduction to Alibaba Cloud RDS (Relational Database Service) Management
In today’s fast-paced digital landscape, efficient database management is vital for businesses and developers alike. Alibaba Cloud’s Relational Database Service (RDS) offers a robust solution for hosting, managing, and scaling databases without the burden of infrastructure maintenance. Whether you're a seasoned developer or a business professional exploring cloud computing for the first time, this guide breaks down Alibaba Cloud RDS in detail, helping you navigate its capabilities and unlock its full potential.

What is Alibaba Cloud RDS?
Alibaba Cloud RDS is a fully managed database service that supports multiple database engines, including MySQL, PostgreSQL, SQL Server, MariaDB, and more. It simplifies database management by automating routine tasks such as backups, scaling, and maintenance, allowing businesses and developers to focus on their core applications rather than the complexities of database infrastructure.
Key Advantages of RDS:
Ease of Use: Setting up and managing a database is straightforward through the intuitive Alibaba Cloud console.
Scalability: RDS allows you to scale database resources up or down depending on workload demands.
Reliability: Features like automated backups, disaster recovery, and multi-zone deployments ensure your database is always available.
Security: RDS includes built-in security features like network isolation, access control, and data encryption to safeguard your information.
Example: Consider a growing e-commerce business during a festive sale. Traffic surges can overwhelm on-premise database setups, leading to slow loading times or crashes. With Alibaba Cloud RDS, the database automatically scales to handle the increased load, ensuring a smooth shopping experience for customers.

Setting Up an RDS Instance: Step-by-Step

Creating a Database Instance To get started with RDS: Log in to the Alibaba Cloud console. Navigate to the RDS Dashboard and click "Create Instance." Select a database engine such as MySQL or PostgreSQL. Configure instance type, storage size, and region based on your requirements. Set up network and security options, including Virtual Private Cloud (VPC) and security groups. Once configured, click Create to provision your database instance. Tip for Non-Devs: Think of this process as ordering a customized coffee. You choose the size (storage), flavor (database engine), and toppings (security settings) before hitting "order."
Connecting to Your Database After the instance is ready: Obtain the connection string from the RDS console. Use tools like DBeaver, phpMyAdmin, or your application’s database library to connect. For developers, connection strings can be integrated into application configuration files, while non-technical users can use graphical clients for data management.
Managing and Monitoring RDS simplifies ongoing database management: Backups: Automated daily backups are enabled by default, with the ability to configure custom backup schedules. Performance Monitoring: Access real-time and historical performance metrics such as query latency, CPU utilization, and memory usage. Scaling Resources: Easily increase storage or switch to a higher instance type during peak traffic periods. Real-World Example: A blogging platform might observe increased traffic when a post goes viral. With RDS, you can add more resources instantly to handle the demand, ensuring fast page loads for readers. Key Features of Alibaba Cloud RDS
High Availability RDS supports multi-zone deployment, ensuring data remains accessible even during outages in a specific data center. For critical applications, features like read replicas and failover capabilities guarantee minimal downtime.
Scalability RDS makes scaling effortless: Vertical Scaling: Increase instance size (CPU, RAM) for better performance. Horizontal Scaling: Add read replicas to distribute the workload.
Enhanced Security RDS provides comprehensive security features: Data Encryption: Secure sensitive data both at rest and in transit. Access Control: Implement granular permissions using built-in access management tools. Network Isolation: Use VPCs to restrict external access. Best Practices for Using Alibaba Cloud RDS Optimize Database Performance Efficient query design is crucial for minimizing resource usage and improving response times. Use indexing, caching, and optimized SQL statements to enhance performance. Developer Quote: "Database optimization is like organizing a library. With a proper index, finding a book is quick and effortless." Backup and Disaster Recovery Ensure your data is always recoverable: Schedule regular backups through the RDS console. Test restoration processes periodically to verify backup integrity. Monitor and Adjust Use Alibaba Cloud’s CloudMonitor to track resource utilization and set alarms for key metrics such as CPU load and query execution time. Who Can Benefit from RDS? Developers: Simplify database management with automation and focus on application development. Small Businesses: Enjoy enterprise-grade database solutions without needing a dedicated IT team. Enterprises: Leverage RDS’s scalability and reliability to handle mission-critical workloads. Success Stories: How Businesses Use RDS Example 1: Startups Scaling Quickly A SaaS startup utilized RDS to manage customer data as they onboarded thousands of users. By enabling auto-scaling, they maintained high performance during rapid user growth. Example 2: E-Commerce Websites An online retail platform handled Black Friday traffic by deploying read replicas to balance the load across multiple servers, ensuring smooth operations.

Conclusion: Why Choose Alibaba Cloud RDS?
Alibaba Cloud RDS stands out as a reliable, scalable, and secure solution for database management. Its automated features reduce the overhead of routine tasks, enabling you to focus on innovation and growth.
Whether you’re running a small blog, a growing startup, or a global enterprise, RDS empowers you with the tools needed to handle complex database needs effortlessly.

Scaling Web Applications with Alibaba Cloud Auto Scaling

SHIBAM — Sun, 10 Aug 2025 06:50:37 +0000

Scaling Web Applications with Alibaba Cloud Auto Scaling

In today’s fast-paced digital world, web applications need to be reliable, responsive, and scalable. A sudden spike in website traffic—a viral post, a sales event, or even a new product launch—can overwhelm your resources if you're not prepared. This is where Alibaba Cloud Auto Scaling comes in, offering an automated, intelligent way to manage your infrastructure. Whether you’re a developer delving into the intricacies of application performance or a non-technical professional exploring efficient solutions, this comprehensive guide breaks it all down.

What is Auto Scaling, and Why Does It Matter?
Imagine you own a coffee shop. During the morning rush, you need more baristas to serve the crowd, while in the afternoon lull, you may need just one. Running your web application follows a similar principle. Auto Scaling dynamically adjusts your cloud resources—like virtual machines, databases, and load balancers—based on the traffic load, ensuring your application performs consistently.
Real-World Perspective
As one Alibaba Cloud user shared on their forum:
"Before implementing Auto Scaling, we often struggled with downtime during high-traffic periods, particularly during seasonal campaigns. With Auto Scaling, our website stayed fast, responsive, and most importantly, available."
For both developers and non-developers, Auto Scaling removes the headache of manual scaling and optimizes both performance and cost.

The Basics: How Alibaba Cloud Auto Scaling Works
Alibaba Cloud Auto Scaling monitors specific metrics to determine whether your resources need adjustment. These include CPU utilization, memory usage, and custom metrics like application-specific KPIs. Depending on these metrics, Auto Scaling either:
Scales Up: Adds more resources to accommodate increased traffic.
Scales Down: Removes excess resources during low traffic to save money.
For Developers:
You can define complex scaling policies using predefined thresholds. For instance:
Scale up by adding one ECS instance if CPU utilization exceeds 75% for 5 minutes.
Scale down by removing an instance if traffic drops below 10 requests per second.
For Non-Developers:
Think of it as having a thermostat for your website. It automatically adjusts the heat (resources) based on the room’s temperature (traffic levels), so everything stays comfortable without manual tweaks.
A Day in the Life of Auto Scaling: Practical Scenarios
Let’s look at how Auto Scaling works in real-world scenarios:
Scenario 1: E-commerce Store
During a Black Friday sale, an online store experiences a tenfold increase in visitors within minutes. Without Auto Scaling, servers crash, leading to lost sales and frustrated customers. With Alibaba Cloud Auto Scaling, the system detects the surge and spins up additional ECS instances within seconds. Once the sale ends, the resources are scaled down to avoid unnecessary costs.
Scenario 2: Educational Platform
A learning platform hosts live online classes. During live sessions, user activity peaks, requiring more resources for video streaming. Auto Scaling ensures a smooth experience by allocating extra capacity during classes and scaling back afterward.
Scenario 3: Startup Website
A new startup launches its product. On launch day, they see a sudden increase in traffic driven by social media buzz. Auto Scaling ensures their website doesn’t buckle under the unexpected load, providing a seamless experience to visitors.
Beyond Scaling: The Benefits of Auto Scaling

Enhanced User Experience "Users don’t care about the backend; they care about speed," says Ali Akbar, a cloud computing enthusiast. Auto Scaling ensures minimal latency and a consistent experience, even during heavy traffic.
Cost Optimization Alibaba Cloud Auto Scaling uses a pay-as-you-go model, meaning you pay only for what you use. During low-traffic periods, you’re not paying for idle resources, which can significantly cut costs for startups and enterprises alike.
Improved Reliability Downtime can tarnish a brand's reputation. Auto Scaling ensures that applications remain available, even when traffic spikes unexpectedly. Alibaba Cloud’s robust monitoring tools provide insights into scaling decisions, helping you identify and prevent potential bottlenecks.
Time Savings Scaling manually is not only tedious but error-prone. Auto Scaling automates resource management, freeing up time for developers to focus on innovation rather than infrastructure.

Getting Started: Configuring Auto Scaling on Alibaba Cloud
Setting up Auto Scaling involves a few straightforward steps:
Define an Auto Scaling Group
An Auto Scaling group is a collection of ECS instances with similar configurations. This acts as the foundation for scaling operations.

Set Scaling Policies
Decide when and how to scale your resources. You can use:

Dynamic Scaling Policies: Triggered by real-time metrics (e.g., CPU utilization).
Scheduled Scaling Policies: Ideal for predictable traffic patterns (e.g., daily peak hours).
Monitor Metrics
Alibaba Cloud offers a powerful monitoring service that integrates seamlessly with Auto Scaling. It tracks metrics and sends alerts to ensure your scaling policies are effective.

Test and Optimize
Run stress tests to validate your configurations. Adjust thresholds and policies based on performance data.

Advanced Features of Alibaba Cloud Auto Scaling
Predictive Scaling
Alibaba Cloud uses AI-powered predictive scaling to anticipate future traffic based on historical data. For instance, if your traffic spikes every Friday evening, the system preemptively scales up resources before the surge begins.
Integration with Other Services
Auto Scaling works hand-in-hand with other Alibaba Cloud services like:
Elastic Load Balancer (ELB): Distributes traffic across multiple instances for optimal performance.
Object Storage Service (OSS): Ensures your static content (images, videos) loads quickly.
Function Compute: Supports serverless operations by scaling functions on demand.
Overcoming Challenges with Auto Scaling
While Auto Scaling is incredibly effective, it’s not without challenges:

Configuration Complexity Setting thresholds that balance performance and cost can be tricky. A misconfigured policy could lead to over-scaling or under-scaling. Solution: Alibaba Cloud’s monitoring tools provide insights to fine-tune your configurations.
Cold Start Issues When scaling up, newly added instances take time to initialize, which may temporarily affect performance. Solution: Use Alibaba Cloud’s Warm-up Mode, which ensures new instances are ready before being added to the load balancer.

The Bigger Picture: Why Auto Scaling is Essential
The digital world is unpredictable. Today, a viral tweet can bring thousands of visitors to your site within minutes. Without a robust scaling strategy, your application risks poor performance or complete downtime. Alibaba Cloud Auto Scaling provides an intelligent, automated way to stay ahead of these challenges.
As cloud computing expert Jeff Barr aptly put it:
"Scaling isn’t just about adding resources; it’s about delivering consistent, high-quality user experiences at scale."
Conclusion
Alibaba Cloud Auto Scaling isn’t just a tool—it’s a strategic asset for anyone running web applications. For developers, it’s about fine-tuning performance and optimizing resources. For non-developers, it’s a reliable way to ensure your site performs well without the need for constant manual adjustments.
Key Takeaways:
Auto Scaling ensures your application remains responsive and cost-effective.
It adapts to traffic spikes in real-time, providing a seamless user experience.
Advanced features like predictive scaling and integration with other Alibaba Cloud services enhance functionality.
Ready to Scale?
Start your journey with Alibaba Cloud Auto Scaling today. With a free trial and intuitive setup, there’s no better time to ensure your application is prepared for whatever the digital world throws at it.
Visit the Alibaba Cloud Auto Scaling page for more details.

Skip the Pixel Pushing: Build Stunning UIs in DronaHQ with Figma + AI

SHIBAM — Wed, 07 May 2025 07:00:00 +0000

In today's fast-paced digital landscape, beautiful design isn’t a luxury — it’s an expectation.

Customers expect seamless, visually striking apps that work flawlessly across devices.

That's why we are incredibly excited to unveil a game-changing upgrade for the DronaHQ community:

Introducing the Figma Design Kit — a comprehensive, fully customizable design system designed to streamline the design-to-development process. Whether you're a UI/UX designer or a developer, this kit offers everything you need to build stunning, consistent, and high-quality user interfaces directly in Figma, ensuring that your designs are easily translated into DronaHQ applications.

With this kit, you can maintain brand consistency, speed up your design workflow, and hand off your assets seamlessly to developers, all while focusing on creating beautiful and functional app interfaces.

🚀 No more struggling with design translations. No more brand mismatches. No more waiting for assets.

This guide will take you through the complete workflow, best practices, and powerful advanced options to bring your creativity into the real world.

What’s Inside the DronaHQ Figma Design Kit?

👉 Access the Figma Kit Here

The DronaHQ Figma Design Kit is a fully customizable design system.

You can adjust it as per your project needs or brand requirements. Let’s see what you get:

🔹Component Library

In the Component Library section of the DronaHQ Figma Design Kit, you’ll find various categories like Featured, Basic, Selection, Native, and more.

This structure closely mirrors the component categories available inside the DronaHQ app builder, making it easy for developers and designers to work in a familiar environment when moving designs into live apps.

🔹 Icon Pack

Dozens of App-Ready Icons, neatly categorized based on their hue like feather, dark, green ,and also social icons.

Why This is a Big Deal for Designers and Developers

Historically, designers and developers have operated in separate silos. Designers build polished UI screens in Figma, and developers are left to manually interpret those designs inside app builders — often leading to time-consuming back-and-forth, mismatched layouts, and brand inconsistencies.

The new DronaHQ Figma Design Kit changes that. Paired with the AI Upload flow, it brings clarity, speed, and precision to the design-to-development process. What used to take hours of component recreation can now be done in minutes, and with far greater accuracy.

With this system in place, teams benefit from seamless handoffs. Developers don’t need to guess the spacing, colors, or component behavior. Everything is well-defined, customizable, and aligned with the components inside DronaHQ.

It’s a huge step forward — not just for improving efficiency, but for enabling a more collaborative product development process where designers and developers speak the same visual language.

But now?

DronaHQ is breaking down the barriers between world-class design and rapid app development.

Key Benefits:

Spend less time fiddling with colors and spacing.
Control every pixel right from Figma.
Give developers stunning UI templates out of the box.
Launch apps faster with fewer design bottlenecks.

It’s about creating a smoother, smarter, and more exciting journey — from idea to launch.

Developer-Specific Gains

By using a shared design system, developers experience less friction. Instead of fixing inconsistencies or revalidating layouts, they can plug in approved components and focus on the logic, data handling, and performance of the app.

Developers can pull components once and reuse them across multiple apps or modules without revalidating layout behavior every time.

And as apps grow, it’s easier to scale — because the system grows with you.

The Hidden Cost of Not Using a Design System

Without a structured design kit, teams often pay the price later. Inconsistent designs, inaccessible components, and duplicated effort create long-term maintenance burdens.

Data shows that mature design systems can speed up UI delivery by 47%, reduce design debt by half, and save up to 30% of implementation time on each project.

For developers, the impact is clear: fewer revisions, faster launches, and a more scalable UI architecture.

How It Works: Figma to DronaHQ

Upload designs into DronaHQ apps

The process is refreshingly straightforward:

Customize the Figma Kit : Access the official DronaHQ Design System here: Download Kit. Modify components — adjust branding, sizing, colors, fonts.
Export Screens or Components

Once your design is ready, export your frames or individual components directly from Figma in any image file format.
1. Upload via DronaHQ AI Chatbot
Upload your exported files to the DronaHQ AI Chatbot. These files are instantly converted into assets that you can use directly inside your app builder.

HTML/CSS Export to Control Designer

While image uploads are fast and simple, for highly interactive UI needs (hover states, animations, dynamic forms), DronaHQ offers a powerful "Control Designer" feature.

Using plugins like Anima in Figma:

Export clean HTML/CSS code from your designs.
Import into DronaHQ Control Designer.
Build truly dynamic, responsive controls.

Refer to this blog for full instructions: How to Export Figma Designs to HTML Using Anima

Choosing Between PNG Uploads and HTML/CSS Exports

When bringing your Figma designs into DronaHQ, you can either upload PNG images or export as HTML/CSS code. Each method serves different use cases depending on your design goals, skill level, and maintenance needs. Here's a breakdown to help you decide:

Quick Tip:

If you're a designer or PM looking to get something live quickly with visual fidelity, PNGs will do the job. But if you're a developer or working closely with one, HTML/CSS offers the flexibility and control needed for richer interactions and responsiveness.

Using DronaHQ’s Figma Kit Right

Before diving into high-fidelity screens, familiarize yourself with the foundational elements like typography, color styles, spacing guidelines, and grid layouts provided in the kit. This helps maintain consistency and saves time down the line.
Stick to using the pre-built components (buttons, inputs, tables, etc.) from the kit instead of creating new ones from scratch. These components are optimized for DronaHQ’s frontend and reduce friction during handoff and implementation.
Take advantage of component variants (like primary/secondary buttons, filled/outlined inputs) and configurable properties. This keeps your designs modular and reduces duplication in your Figma file.
Regular check-ins with your dev team ensure designs remain feasible and aligned with DronaHQ’s capabilities. It also helps in identifying when to customize versus when to reuse existing components.
While it’s tempting to push design boundaries, remember the goal is to build efficiently using low-code principles. Keep customizations minimal and purposeful to reduce development complexity.

Resources and Quick Links

✅ DronaHQ Figma Design System Kit

✅ DronaHQ Platform - Sign Up

✅ DronaHQ Documentation - Working with AI Chatbot

✅ Anima Plugin - Export Figma to HTML

Thank you for reading this far. If you find this article useful, please like and share this article. Someone could find it useful too.💖

Connect with me on 👉 LinkedIn and Medium!

DevOps Reimagined: From Jenkins to AIOps and the Rise of Intelligent Automation – Part II

SHIBAM — Sat, 26 Apr 2025 05:30:00 +0000

In Part I, we explored how traditional DevOps practices are transforming with the rise of AIOps and intelligent automation. But that’s only part of the story. The DevOps ecosystem is also being redefined by emerging priorities—security, developer experience, and human-first culture.

In this second installment, we dive into these trends reshaping the DevOps narrative.

🔒 DevSecOps: Where Security is Built-In, Not Bolted On

Security is no longer something you "add on later." In the DevSecOps era, it’s baked in from commit to production.

Teams are adopting SBOMs (Software Bill of Materials) to gain visibility into all app dependencies. This transparency accelerates response time when vulnerabilities like Log4j arise.

Security testing is now deeply embedded in the pipeline:

SAST (Static Application Security Testing) checks code quality at build time.
DAST (Dynamic Application Security Testing) scans running applications for real-world exploits.

Tools like Snyk and OWASP ZAP help detect and fix issues before and after runtime.

CI/CD platforms are getting smarter too. With secret scanners and compliance gates, you can block hardcoded credentials and policy violations before they go live.

✅ Example: GitHub Advanced Security scans for secrets, vulnerabilities, and misconfigurations on every push—right inside your repo.

🤖 Rise of Internal Developer Platforms (IDPs)

Developer experience (DevEx) is no longer a “nice to have”—it’s essential.

That’s where Internal Developer Platforms (IDPs) come in. These platforms enable developers to:

Spin up environments without waiting for ops
Deploy services with pre-approved templates
Operate through golden paths aligned to best practices

IDPs unify tooling under a single dashboard—bringing metrics, logs, docs, and statuses into one place.

🚀 Platforms like Backstage, Port, and Humanitec are leading this space—turning platform engineering into a core DevOps function.

⟳ Continuous Everything

"Continuous delivery" was just the start. Now, “continuous” spans the entire software lifecycle:

Continuous Planning: Real-time roadmaps synced with dev activity.
Continuous Feedback: Product telemetry and user data flow directly into dev cycles.
Feature Flags: Tools like LaunchDarkly, Flagsmith, and Flipt allow gradual rollouts, instant rollbacks, and real-time toggles.

📊 83% of high-performing teams use feature flags in production

— LaunchDarkly 2025 Report

👨‍💻 DevEx: The New North Star for DevOps

In modern DevOps, Developer Experience (DevEx) is the performance multiplier.

What does good DevEx look like?

🔄 Fewer context switches through integrated tools
⚡ Fast, intuitive UX for all developer-facing systems
📘 Great documentation and onboarding flows

💬 “DevEx is not a luxury. It’s the foundation of modern software delivery.”

— Charity Majors, CTO at Honeycomb

Investing in DevEx means faster delivery, happier teams, and better outcomes.

🧠 Culture Still Matters: The Human Side of DevOps

Even with AI and automation, DevOps is still about people.

🤝 Blameless postmortems promote learning over blame
🧠 Psychological safety encourages innovation
🌍 Async communication tools like Slack, Discord bots, and Teams workflows support distributed teams

📝 GitLab’s Remote Manifesto is a great example of cultural values baked into DevOps practice.

DevOps culture is evolving—but its core remains deeply human.

🔮 What’s Next in DevOps?

The future is already here. Expect to see more of:

⚙️ AI-powered pipelines that detect and self-correct anomalies
🧩 Composable DevOps stacks built for niche and domain-specific workflows
☁️ Developer-first cloud platforms tailored to languages and use cases
🙌 Zero-touch infrastructure that configures and scales itself

🖊️ Final Thoughts

DevOps has come a long way from just automating builds and deployments. It’s now an interconnected system of tools, teams, and philosophies—focused on automation, security, platform engineering, and human experience.

To thrive in this landscape, you need to be:

🧠 Curious
🧰 Tool-savvy
🤝 Collaborative
🔁 Always learning

📚 Resources to Follow

Thank you for reading this far. If you find this article useful, please like and share this article. Someone could find it useful too.💖

Connect with me on 👉 LinkedIn and Medium!

🔥DevOps Reimagined: From Jenkins to AIOps and the Rise of Intelligent Automation – Part I

SHIBAM — Fri, 25 Apr 2025 12:26:00 +0000

🚀 Introduction: The DevOps Revolution — Then and Now

DevOps started as a cultural movement to break down the silos between development and operations teams. In its early days, it promised faster deployments, fewer bugs, and tighter feedback loops. Today, it’s evolved into a full-fledged engineering philosophy touching every aspect of the software delivery lifecycle.

According to the 2024 State of DevOps Report by Puppet, high-performing DevOps teams deploy 973x more frequently than their low-performing counterparts, with 6570x faster lead times. That’s not just impressive — it’s transformative.

In this article, we dive deep into how DevOps is evolving in 2025, what new trends and tools are shaping it, and what developers need to know to stay ahead.

🌐 The Core Principles of DevOps: Modern Take

Traditionally, DevOps was rooted in three key pillars:

CI/CD pipelines for faster delivery
Automation to eliminate manual toil
Collaboration and communication between devs and ops

But in today’s world of fast-paced delivery and complex infrastructure, these pillars have matured and taken new forms:

Developer Experience (DevEx) is now central. Developers want more than just working pipelines — they need intuitive tooling, faster feedback loops, and fewer blockers. If you’ve ever been stuck waiting on a deployment you don’t own or figuring out where the logs are, you know the pain.
Platform engineering helps streamline workflows with internal tools and self-service infrastructure. Think of it like building guardrails so developers can move quickly without falling off the cliff.
Security and observability are no longer optional. They’re baked in from the first line of code to the final deployment.

🧪 Relatable? If you’ve ever juggled three different dashboards just to troubleshoot a bug, or hunted through Slack to find the person who owns a failing pipeline, then this shift is happening around you.

Example: Shopify’s engineering teams use Backstage to bring together their microservices, documentation, deployment logs, and team ownership in one place — creating a single pane of glass that boosts DevEx and cuts down cognitive overload.

🚗 The Modern DevOps Stack: What's In and What's Out

What’s fading:

Jenkins (legacy for many orgs, often slow to scale and hard to maintain)
Manual config management (replaced by Infrastructure as Code — IaC — tools that offer consistency and automation)

What’s hot:

GitHub Actions for CI/CD — native, flexible, and deeply integrated into the GitHub ecosystem. As of 2025, over 90% of open-source projects hosted on GitHub rely on GitHub Actions for automation.
ArgoCD for GitOps — declarative and Kubernetes-native, empowering teams to adopt continuous delivery with confidence. Intuit reports a 2x reduction in production deployment failures since adopting ArgoCD.
Terraform & Pulumi for IaC — enabling reproducible and versioned infrastructure. HashiCorp’s 2024 usage report noted Terraform is used by 70% of Fortune 500 companies.
Crossplane for cloud-native control planes — bringing Kubernetes-style APIs to manage infrastructure across AWS, GCP, and Azure. It allows platform teams to compose infrastructure abstractions that developers can easily consume.

These modern tools are gaining ground not just because they're trendy — they solve real pain points: reducing manual intervention, enabling self-service, improving auditability, and aligning infrastructure with code.

⚙️ Automation Beyond Pipelines

Modern automation goes beyond just build and deploy — it's about creating intelligent, responsive systems that can adapt to change and reduce operational overhead.

Event-driven workflows powered by Temporal: Instead of relying on static pipelines, Temporal enables dynamic, long-running workflows that react to real-world events — from payment processing to data ingestion. It's especially powerful in microservices architectures, where orchestration and coordination are key. Coinbase used Temporal to handle billions of dollars in transactions more reliably.
Policy-as-Code using Open Policy Agent (OPA): This brings governance and compliance into your pipelines and runtime decisions. With OPA, teams can write and enforce policies — like who can deploy what, where, and when — all as code. Netflix uses OPA to manage access policies and service configurations at scale.
Infrastructure automation with Dagger: A modern approach to CI pipelines and environment provisioning, Dagger lets developers write pipelines in their own language (like Python or Go) and run them anywhere. It's gaining popularity for being portable and developer-friendly.

☁️ Cloud-Native & Kubernetes: Now Just the Foundation

While Kubernetes once symbolized cutting-edge infrastructure, today it’s just the beginning — the new normal. Every serious product team now runs on Kubernetes or a similar container orchestration platform. But as workloads grow and complexity increases, new challenges have emerged: managing service-to-service communication, optimizing across cloud vendors, and building developer-friendly environments.

That’s where new layers are coming in:

Service Meshes (like Istio and Linkerd) enable fine-grained traffic control, secure service-to-service communication, and observability baked into the infrastructure.
Hybrid/Multi-cloud orchestration is becoming vital for businesses with compliance or latency needs. Platforms like Google Anthos and HashiCorp Consul are rising in popularity for their ability to span cloud boundaries.
Developer platforms abstracting K8s are now in demand because developers shouldn’t need to know Kubernetes YAML to deploy code. Tools like Vercel, Render, and Qovery provide an experience where devs can focus on app logic, not infrastructure setup.

📊 Stat: CNCF's 2025 report shows that 84% of organizations are using Kubernetes in production, but 61% say they are actively exploring ways to abstract it from developers to reduce onboarding friction and cognitive load.

📊 DevOps Meets Observability

Observability is no longer just an ops concern — it’s now central to how developers ship and maintain software. In an era where applications are distributed, containerized, and constantly evolving, the ability to understand what's happening inside your systems in real time is essential.

Today’s developer is expected to:

Instrument applications using OpenTelemetry, the emerging standard for observability data
Use Grafana and Prometheus for real-time metrics, dashboards, and alerting
Implement distributed tracing to connect logs, metrics, and traces for root cause analysis

🔍 Stat: Teams with full observability resolve incidents 65% faster and spend 2x less time in war rooms compared to those with limited visibility (New Relic, 2024).

🧠 AIOps: The AI Layer Over DevOps

AIOps — Artificial Intelligence for IT Operations — is rapidly reshaping how DevOps teams manage infrastructure, detect issues, and streamline processes. In 2025, it's more than just a buzzword; it's a vital tool for handling the scale and complexity of modern systems.

Here’s how AIOps is making an impact:

Anomaly detection and root cause analysis: AI models analyze logs, metrics, and traces to detect outliers and diagnose problems much faster than traditional monitoring tools.
AI-generated runbooks: When an issue arises, AIOps tools can automatically suggest (or even execute) remediation steps based on previous incident patterns.
Smarter alerting: Instead of waking up the on-call engineer for every minor blip, tools like PagerDuty AI correlate alerts and prioritize only the ones that actually matter.

🎯 Why it matters: As systems become increasingly distributed and data-heavy, it's humanly impossible to monitor and respond to every signal in real time. AIOps helps reduce alert fatigue, improve uptime, and speed up resolution.

Example: Harness.io leverages AIOps to optimize cloud spend and refine deployment strategies using real-time usage data. It detects inefficient workloads, automates rollback strategies, and continuously tunes pipelines to reduce costs without sacrificing performance.

This is just scratching the surface. In Part 2, we’ll explore the next wave of DevOps innovation — from DevSecOps and Internal Developer Platforms to the cultural practices that make it all work.

Stay tuned.

Thank you for reading this far. If you find this article useful, please like and share this article. Someone could find it useful too.💖

Connect with me on 👉 LinkedIn and Medium!

🔥 Mastering HTTP Requests in JavaScript (2025 Guide)

SHIBAM — Mon, 14 Apr 2025 05:19:10 +0000

🧠 Did you know? Over 94% of websites use JavaScript for client-side scripting, and HTTP requests power most modern app interactions! Whether you're calling an API, submitting a form, or fetching a product list, you’re using HTTP requests.

In this guide, you’ll master all the ways to make and handle HTTP requests in JavaScript — from old-school XMLHttpRequest to the modern fetch() and power-packed Axios.

🚀 What Are HTTP Requests?

HTTP requests let your app communicate with a server:

🔍 Fetch user or product data
📝 Submit forms or files
🔐 Authenticate and authorize users
📦 Upload files and images
🔁 Sync data with databases or APIs

⚡ The Native Hero: `fetch()`

Introduced in ES6, fetch() is modern, promise-based, and built into all modern browsers.

✅ Basic GET Request:

fetch('https://api.publicapis.org/entries')
  .then(res => res.json())
  .then(data => console.log(data))
  .catch(err => console.error('Fetch error:', err));

✅ POST Request with Headers:

fetch('https://api.example.com/user', {
  method: 'POST',
  headers: {
    'Content-Type': 'application/json'
  },
  body: JSON.stringify({
    name: 'Shibam',
    email: 'shibam@example.com'
  })
});

🔧 `fetch()` Options:

Option	Description
`method`	HTTP method like `GET`, `POST`
`headers`	Custom headers
`body`	Data to be sent (for POST)
`mode`	CORS handling
`credentials`	Send cookies (auth tokens)

💎 Axios: The Developer Favorite

Axios is a popular HTTP client used by over 27.5 million projects monthly (NPM Trends, 2024). It simplifies requests with cleaner syntax, automatic JSON parsing, and powerful features like interceptors.

✅ Install:

npm install axios

✅ Basic GET:

import axios from 'axios';

axios.get('https://api.publicapis.org/entries')
  .then(response => console.log(response.data))
  .catch(error => console.error(error));

✅ POST with Config:

axios.post('https://api.example.com/data', {
  title: 'Axios Post!',
  user: 'shibam'
}, {
  headers: {
    'Authorization': 'Bearer TOKEN'
  }
});

🔥 Features:

✅ Interceptors for headers, tokens, logging
✅ Automatic JSON parsing
✅ Error handling with response codes
✅ Node.js + Browser support

🧪 Old-School: `XMLHttpRequest` (XHR)

📉 Once the only option for AJAX calls, now mostly replaced by fetch and Axios.

const xhr = new XMLHttpRequest();
xhr.open('GET', 'https://api.example.com/data', true);
xhr.onload = function () {
  if (xhr.status === 200) {
    console.log(JSON.parse(xhr.responseText));
  }
};
xhr.send();

🧟 Use only for legacy browser support (IE11 or older).

🔁 Modern Pattern: Async/Await

Syntactic sugar over promises for cleaner code.

async function getData() {
  try {
    const response = await fetch('https://api.example.com/info');
    const data = await response.json();
    console.log(data);
  } catch (error) {
    console.error('Error:', error);
  }
}

✅ Works with both fetch() and axios.

🌐 Adding Query Params

Manual (Fetch):

fetch('https://api.example.com/items?category=books&page=2')

Axios-friendly:

axios.get('/items', {
  params: {
    category: 'books',
    page: 2
  }
});

📦 Handling FormData (File Uploads)

const formData = new FormData();
formData.append('profile', fileInput.files[0]);

fetch('/api/upload', {
  method: 'POST',
  body: formData
});

🚨 Error Handling Like a Pro

With `fetch()`:

fetch('/api/data')
  .then(res => {
    if (!res.ok) throw new Error('Request failed');
    return res.json();
  })
  .catch(error => console.error(error));

With Axios:

axios.get('/api/bad-endpoint')
  .catch(error => {
    if (error.response) {
      console.log('Server responded with:', error.response.status);
    } else if (error.request) {
      console.log('No response received');
    } else {
      console.log('Error:', error.message);
    }
  });

🔁 Multiple Requests at Once

Promise.all([
  fetch('/api/user'),
  fetch('/api/settings')
])
.then(async ([res1, res2]) => {
  const user = await res1.json();
  const settings = await res2.json();
  console.log({ user, settings });
});

With Axios:

const [user, settings] = await Promise.all([
  axios.get('/user'),
  axios.get('/settings')
]);

📊 Fun Dev Stats (2025 Edition)

Metric	Value
Websites using JavaScript	94.7%+ (W3Techs, Jan 2025)
Monthly Axios downloads (NPM)	27.5 million+ (NPM Trends 2024)
Developers preferring `fetch`	65% (StackOverflow Survey 2024)
Average API response time (US APIs)	~120ms (Postman State of APIs)
Most used HTTP method	GET (78%)

✅ Summary

Method	Async	Lightweight	Legacy Support	Features
`fetch()`	✅	✅	❌	Native + Promises
`Axios`	✅	❌ (needs install)	✅	Interceptors, Timeout, Nodes
`XMLHttpRequest`	❌	❌	✅	Callback-based, verbose

🔚 Final Thoughts

🧭 As we move further into 2025, your safest bets for making HTTP requests in JavaScript are:

Use fetch() for modern, simple use-cases
Use Axios for complex apps needing interceptors, tokens, and better error handling
Avoid XMLHttpRequest unless maintaining legacy systems

👋 Follow me on LinkedIn for more content around JavaScript, DevRel, and AI — let's connect and build together!

🤖 Getting Started with AI in JavaScript: A Beginner's Guide to the Future of Web Development : Part -II

SHIBAM — Tue, 08 Apr 2025 03:24:00 +0000

🧠 Trendy: Using Transformers.js for LLMs in the Browser

Welcome to the future of AI — where Large Language Models (LLMs) like GPT and BERT can now run locally in the browser, thanks to transformers.js.

“Running AI models in the browser eliminates latency and enhances privacy.” – HuggingFace Blog

🚀 What is Transformers.js?

Transformers.js is a pure JavaScript library that lets you run HuggingFace transformer models in the browser. No Python. No servers. Just JS.

🌟 Features:

🤖 Supports text generation, classification, translation, summarization
🧠 Uses ONNX + WebAssembly (WASM) under the hood
🧪 100% runs in-browser – private, fast, and serverless

🔨 Build: AI Text Generator in the Browser

Here’s how to build a GenAI chatbot using Transformers.js.

🧠 Goal: Use a GPT-style model to generate text completions in-browser

1. Add the Script

<script type="module">
  import { pipeline } from 'https://cdn.jsdelivr.net/npm/@xenova/transformers@2.5.0';
</script>

2. Generate Text

<body>
  <h1>💬 AI Chatbot in Browser</h1>
  <textarea id="input" rows="4" cols="50" placeholder="Type your prompt..."></textarea>
  <button onclick="generateText()">Ask AI</button>
  <pre id="output">🧠 Waiting for input...</pre>

  <script type="module">
    import { pipeline } from 'https://cdn.jsdelivr.net/npm/@xenova/transformers@2.5.0';

    const generator = await pipeline('text-generation', 'Xenova/distilgpt2');

    window.generateText = async () => {
      const prompt = document.getElementById('input').value;
      const result = await generator(prompt, { max_new_tokens: 40 });
      document.getElementById('output').textContent = result[0].generated_text;
    };
  </script>
</body>

🔥 This uses the distilgpt2 model and generates responses based on your input.

✅ Output Example:

Prompt: The future of AI is
Response: The future of AI is not a dream anymore — it's happening right now in real time.

🧠 Use Case 2: Smart UI Assistant with Brain.js

Brain.js is a lightweight neural net library for JS developers.

Imagine making your site smarter by training it to understand patterns — like recognizing user behavior or product popularity.

🧪 Code: AI-Based Sentiment Predictor

import brain from 'brain.js';

const net = new brain.NeuralNetwork();

net.train([
  { input: { awesome: 1 }, output: { positive: 1 } },
  { input: { terrible: 1 }, output: { negative: 1 } },
]);

const output = net.run({ awesome: 1 }); // { positive: 0.98 }

console.log(output);

🧠 This is basic sentiment prediction — but it lays the groundwork for things like:

🔍 Product review analysis
💬 Live feedback loops
🎯 UI personalization

🌎 Real-World AI x JavaScript Use Cases

Let’s take a look at some real companies and open-source tools using AI + JavaScript.

Platform	Use Case	Tech Stack
Runway	In-browser video editing w/ GenAI	JavaScript, WebAssembly
HuggingFace Spaces	Browser-based AI demos	Transformers.js, React, Vite
Google Teachable Machine	Train your own model visually	TensorFlow.js
Replicate UI	UI for running AI models via API	React + REST
You.com	Search engine with in-browser GenAI	TypeScript, Web Workers, LLM APIs

🔍 Use Case: AI as a Browser Extension (New & Cool!)

With AI getting smaller and faster, devs are building AI-powered browser extensions like:

📜 TLDR This – Summarizes articles
✍️ Compose AI – Autocompletes emails and messages
🧠 Monica – Local memory extension that learns what you browse

You can build your own using:

// manifest.json
{
  "name": "Smart Summary",
  "permissions": ["activeTab", "storage"],
  "content_scripts": ["summary.js"],
  "manifest_version": 3
}

And then use Transformers.js or fetch() to call AI models directly from the extension.

🧠 Bonus: Using OpenAI API from JavaScript

Want to work with ChatGPT/GPT-4 via JavaScript? Use the OpenAI API:

📜 Setup

npm install openai

import OpenAI from 'openai';

const openai = new OpenAI({
  apiKey: 'YOUR_API_KEY',
  dangerouslyAllowBrowser: true,
});

const chatCompletion = await openai.chat.completions.create({
  model: 'gpt-3.5-turbo',
  messages: [{ role: 'user', content: 'Write a haiku about JavaScript' }],
});

console.log(chatCompletion.choices[0].message.content);

⚠️ Note: This sends data to OpenAI’s servers. If you need privacy, go for Transformers.js.

✅ That’s it for Part 2!

🙌 Let me know when you're ready for Part 3!

Thank you for reading this far. If you find this article useful, please like and share this article. Someone could find it useful too.💖

Connect with me on 👉 LinkedIn and [Medium]

🤖 Getting Started with AI in JavaScript: A Beginner's Guide to the Future of Web Development : Part -I

SHIBAM — Mon, 07 Apr 2025 12:00:00 +0000

🤖 Getting Started with AI in JavaScript: A Beginner's Guide to the Future of Web Development

Artificial Intelligence (AI) is everywhere — from recommending your next Netflix show 🎬 to helping self-driving cars 🚗 navigate roads. But what if I told you that you, a JavaScript developer, can build intelligent apps right in the browser?

Welcome to the beginner-friendly guide on how JavaScript is powering the next generation of AI on the web. 🌐✨

🧠 What You'll Learn

What is AI and how it connects to JavaScript
JavaScript libraries that bring AI to the browser
Hands-on mini project using TensorFlow.js
New and trendy use cases like GenAI, LLMs, and AI Web Assistants
Quotes, stats, and real-world references

📌 Why Should JavaScript Developers Care About AI?

"Artificial intelligence is the new electricity." — Andrew Ng, AI pioneer

Just like electricity revolutionized industries in the past, AI is now transforming every tech field. And while Python has dominated the AI scene for years, JavaScript is quickly becoming a front-runner in bringing AI to life in the browser.

📊 The Stats Say It All

JavaScript is the #1 most used programming language (Stack Overflow 2023 Developer Survey)
TensorFlow.js, Brain.js, and onnxruntime-web make AI browser-compatible
More than 70% of AI demos on the web now use some form of JS, WebGL, or WebAssembly (source)

🔍 What is AI, Really?

At its core, Artificial Intelligence (AI) is the simulation of human intelligence by machines. It can include:

🧮 Machine Learning (ML): systems that learn from data
🖼️ Computer Vision: recognizing images or videos
🗣️ Natural Language Processing (NLP): understanding and generating human language
🎮 Reinforcement Learning: teaching bots to play games or perform tasks

In JavaScript, AI most often means using pre-trained models or building lightweight models that can run in the browser using libraries like:

💡 Use Case Spotlight: AI-Powered Text Summarizer ✍️

Let’s say you’re building a news site and want to summarize articles for readers. With JavaScript, you can run a lightweight LLM in the browser that:

Reads the content
Sends a prompt to a local or cloud-hosted LLM
Returns a short summary in real-time

Sound too futuristic? Stick around — we’ll build a version of it in this blog using Transformers.js. 👇

🔧 Setting Up Your JavaScript AI Environment

Before you dive into coding, here’s how to set up a basic AI-friendly dev environment.

📁 Tools You’ll Need

Tool	Purpose
VS Code	Code editor
Node.js	JavaScript runtime
npm / yarn	Package manager
Git	Version control
Browser	Where your AI app runs! 🧠🌍

🛠️ Install TensorFlow.js

Let’s get started with installing one of the most popular JS AI libraries:

npm install @tensorflow/tfjs

🧪 Test Your First AI Script

Let’s make sure everything works by running a simple neural net in the browser.

<!DOCTYPE html>
<html>
  <head>
    <script src="https://cdn.jsdelivr.net/npm/@tensorflow/tfjs"></script>
  </head>
  <body>
    <h1>🧠 AI Says: Add Two Numbers</h1>
    <pre id="output"></pre>
    <script>
      async function runModel() {
        const model = tf.sequential();
        model.add(tf.layers.dense({ units: 1, inputShape: [1] }));
        model.compile({ loss: 'meanSquaredError', optimizer: 'sgd' });

        const xs = tf.tensor2d([1, 2, 3, 4], [4, 1]);
        const ys = tf.tensor2d([2, 4, 6, 8], [4, 1]);

        await model.fit(xs, ys, { epochs: 250 });

        const output = model.predict(tf.tensor2d([5], [1, 1]));
        output.print();

        document.getElementById('output').textContent = "AI says: 5 + ? ≈ " + output.dataSync()[0];
      }

      runModel();
    </script>
  </body>
</html>

🎉 Output: The AI model "learns" that the pattern is x2, and will say something like “5 + ? ≈ 10”.

Thank you for reading this far. If you find this article useful, please like and share this article. Someone could find it useful too.💖

Connect with me on 👉 LinkedIn and Medium!

State Management for Large Internal Tools: Redux, Context API, or Alternatives?

SHIBAM — Wed, 26 Mar 2025 14:00:00 +0000

State Management for Large Internal Tools: Redux, Context API, or Alternatives?

Among the biggest challenges developers face while building large internal tool applications is state management. With the plethora of libraries/frameworks available, this can be quite daunting. In this blog we will dissect the three most widely-used state management strategies, Redux vs Context API vs Other solutions, and help you pick the best strategy for your application. This guide’s purpose is also to demystify state management whether you’re a developer or it’s less familiar territory for you.

What Is State Management?

State management is about how an app keeps track of its data and updates it when things change. Think of it as the app's memory, helping it remember what it needs to show or do at any given time.

In web apps, "state" is like a snapshot of the app’s current data that helps display the right information on the screen. For instance, in a tool for managing customer orders, the state might include:

Who’s logged in (current user session).
A list of all customer orders.
Results from a search filter (e.g., only showing "pending orders").

If you don’t have a clear way to manage this state, keeping everything updated and consistent across different parts of the app can become a mess—especially when the app gets bigger or more complex. That’s why using a good state management system is crucial.

Core Considerations for Choosing a State Management Tool

Before selecting a state management tool, evaluate these technical considerations:

State Complexity: Assess whether your app’s state has simple structures or involves intricate relationships and interdependencies between components.
Update Frequency: Determine how often state updates occur and whether real-time or high-frequency updates are required.
Team Expertise: Consider the team's proficiency with existing tools and libraries, such as Redux, Context API, or others, to minimize learning curves.
Scalability: Ensure the chosen solution can accommodate potential growth in application size, data volume, and feature set.
Performance Impact: Evaluate the importance of optimizing renders to avoid unnecessary re-renders and maintain high application performance.

These criteria help align the state management choice with the application's technical requirements and future scalability.

Context API

The Context API is a native feature of React and is often the first choice for smaller-scale applications. It allows you to share data across components without prop drilling (manually passing props through each level of the component tree).

Use:

Simple state sharing, such as theme toggles or user authentication.
Apps where state does not change frequently or is limited in scope.

Advantages

Native to React: No need to install additional libraries.
Lightweight and easy to implement.
Perfect for small to medium-sized apps.

Disadvantages

Not designed for high-frequency updates.
Performance issues arise when multiple components depend on the same context.

Example Code

import React, { createContext, useContext, useState } from 'react';

// Create a context  
const UserContext \= createContext();

function App() {  
  const \[user, setUser\] \= useState({ name: 'John Doe', role: 'Admin' });
  return (  
    \<UserContext.Provider value={{ user, setUser }}\>  
      \<Dashboard /\>  
    \</UserContext.Provider\>  
  );  
}

function Dashboard() {  
  const { user } \= useContext(UserContext);  
  return \<h1\>Welcome, {user.name}\!\</h1\>;  
}

export default App;

Explanation:

createContext: This creates a Context object, UserContext, which allows you to pass data through the component tree without explicitly passing props to each level.
App component:
- useState is used to manage the user state (name and role).
- The UserContext.Provider component wraps the child component Dashboard and provides user and setUser as the value. This means any child component inside Provider can access this data.
Dashboard component:
- useContext(UserContext) is used to access the user data from the UserContext and display the user's name.

This setup allows you to share the user state across different components in the app without prop drilling, especially useful when the app grows.

Redux

Redux is a powerful state management library commonly used in larger, more complex applications. It uses a centralized store to manage state across the entire app.

Use

Large-scale apps with complex state interdependencies.
High-frequency state updates, such as real-time data syncing.
Applications requiring a predictable state container.

Advantages

Centralized state management.
Strong debugging tools via Redux DevTools.
Predictable state updates due to strict rules.

Disadvantages

Boilerplate-heavy: Redux can be verbose, especially for newcomers.
Overkill for simple applications.

Example Code

// Install Redux dependencies: npm install @reduxjs/toolkit react-redux  
import { configureStore, createSlice } from '@reduxjs/toolkit';  
import { Provider, useSelector, useDispatch } from 'react-redux';

// Create a slice  
const userSlice \= createSlice({  
  name: 'user',  
  initialState: { name: 'John Doe', role: 'Admin' },  
  reducers: {  
    setUser: (state, action) \=\> {  
      state.name \= action.payload.name;  
      state.role \= action.payload.role;  
    },  
  },  
});

const store \= configureStore({ reducer: { user: userSlice.reducer } });  
const { setUser } \= userSlice.actions;

function App() {  
  return (  
    \<Provider store={store}\>  
      \<Dashboard /\>  
    \</Provider\>  
  );  
}

function Dashboard() {  
  const user \= useSelector((state) \=\> state.user);  
  const dispatch \= useDispatch();

  return (  
    \<div\>  
      \<h1\>Welcome, {user.name}\!\</h1\>  
      \<button onClick={() \=\> dispatch(setUser({ name: 'Jane Doe', role: 'User' }))}\>  
        Change User  
      \</button\>  
    \</div\>  
  );  
}

export default App;

Explanation:

createSlice: This function from Redux Toolkit creates a "slice" of the state. In this case, the slice is named user and contains the initial state with a name and role, as well as a setUser action to modify that state.
configureStore: This sets up the Redux store, and the user slice reducer is added to the store.
Provider: The Provider component is used to pass the Redux store to the rest of the app. This makes the store available to all components that are wrapped in the Provider.
useSelector: This hook is used to access the current user state from the Redux store. It listens to the store and re-renders the component whenever the state changes.
useDispatch: This hook is used to dispatch actions to modify the Redux state. In this example, when the button is clicked, it dispatches the setUser action to update the user's name and role.

In this setup, Redux manages global state and provides a way to dispatch actions that change state, which is particularly useful for larger applications with more complex state logic.

Alternatives

Beyond Context API and Redux, several other state management libraries and patterns are worth considering:

Zustand

Zustand is a lightweight state management library with a simpler API compared to Redux. It’s well-suited for both small and medium-scale apps.

Example Code


import create from 'zustand';

const useStore \= create((set) \=\> ({  
  user: { name: 'John Doe', role: 'Admin' },  
  setUser: (user) \=\> set({ user }),  
}));

function App() {  
  const { user, setUser } \= useStore();  
  return (  
    \<div\>  
      \<h1\>Welcome, {user.name}\!\</h1\>  
      \<button onClick={() \=\> setUser({ name: 'Jane Doe', role: 'User' })}\>  
        Change User  
      \</button\>  
    \</div\>  
  );  
}
export default App;

MobX

MobX simplifies state management by leveraging observable objects. It’s great for apps with complex UIs that need automatic updates.

Recoil

Recoil provides fine-grained state management and is designed for React. It allows you to manage independent pieces of state (atoms) and derive computed state (selectors).

Choosing the Right Tool

Here’s a quick summary to guide your decision:

Feature	Context API	Redux	Alternatives (Zustand, MobX, etc.)
Best For	Simple apps	Large, complex apps	Small-to-medium apps
Setup Complexity	Low	High	Low to Medium
Performance for High Updates	Moderate	Excellent	Excellent
Boilerplate	Minimal	High	Minimal to Medium

Conclusion

Building scalable internal tools requires state management, which is a major challenge. Context API is recommended for small apps where as Redux is used for large apps with too many states and its need to be communicated with each other. Solutions like Zustand or MobX offer a middle-ground solution, targeting flexibility with a short learning curve.

We can have confidence in the decision we made on state management strategy for our application when — we understand how our application manages states and the strengths of each of the tools.

React or DronaHQ? What points may be missing from this debate

SHIBAM — Fri, 24 Jan 2025 08:37:09 +0000

Deadlines are tight, the feature list is endless, and the pressure to deliver is mounting. Every engineering team knows this scenario all too well. Now imagine this: Alice, a seasoned React developer, and Bob, an efficiency-driven problem-solver, are tasked with building an internal dashboard on a near-impossible timeline. Alice instinctively reaches for React, her trusted framework, while Bob proposes something different—DronaHQ, a low-code platform.

At first glance, it seems like a showdown between two approaches: React, the industry-standard powerhouse, and DronaHQ, the disruptor focused on speed and simplicity. But here’s the twist—what if it’s not about choosing one over the other? What if combining their strengths is the real answer to meeting impossible deadlines while delivering scalable, efficient solutions?

This blog explores how React and DronaHQ complement each other, helping teams navigate the balancing act between customization and speed. Whether you’re team React or curious about low-code, it’s time to rethink how these tools can shape the way we build.

Why React?

React has established itself as a front-end development powerhouse. It is a JavaScript library used for developing dynamic and interactive user interfaces. It focuses on a component-based architecture, enabling developers to design reusable, modular bits that encapsulate complex bits of UI. React’s declarative syntax makes designing and debugging user interfaces a breeze, encouraging a predictable flow of data. It has a huge ecosystem of libraries, and tools such as Redux for state management, Material UI for ready-to-use design component,s and so on, React offers a vast toolkit for developers.

React is used by 5.8% of all the websites whose JavaScript library we know. This is 4.7% of all websites.

Here’s why developers like Alice swear by it:

Component-Based Architecture

React’s modular components promote reusability and scalability, allowing developers to build complex UIs from simple, isolated pieces. For example, you can create a reusable <Button> component that maintains consistent styling across your application.
Vast Ecosystem

React boasts a rich ecosystem with libraries like Material UI for design components and Redux for state management. Need animations? Add Framer Motion to your project and you’re set!

By September 2024, the React core package achieved over 20 million weekly downloads, underscoring its extensive adoption within the JavaScript ecosystem.

Declarative Syntax

React’s declarative approach simplifies interactive UI design. Want to show or hide a modal? A few lines of code make it happen:

const [isOpen, setIsOpen] = useState(false);
return (
<>
<button onClick={() => setIsOpen(true)}>Open Modal</button>
{isOpen && <Modal onClose={() => setIsOpen(false)} />}
</>
);

Unmatched Flexibility
React integrates with various backends and frameworks, making it a top choice for projects requiring high customization.

React thrives in environments where custom solutions and scalability are priorities. However, this flexibility often requires significant development time and expertise.

Why DronaHQ?

Low-code platforms are changing the game when it comes to application development, especially the collaboration between developers and non-technical users on application creation. They provide visual development environments, pre-built components, and easy workflows to help speed the development process.

The technology is being rapidly adopted with the low-code market being crucial for organizations looking to minimize their development times and costs. Low-code platforms such as DronaHQ enable businesses to meet the increasing demand of software solutions even when they are short on resources. Low-code platforms, like DronaHQ, empower enterprises to address the growing demand for software solutions despite resource constraints, making them critical in industries such as finance, healthcare, and marketing.

The global low-code platform market is projected to reach $187 billion by 2030, growing at a CAGR of 31.1%.

DronaHQ is a low-code platform designed to accelerate application development, particularly for internal tools, dashboards, and prototypes. Its drag-and-drop interface simplifies the app-building process, allowing business users and developers to create functional applications without extensive coding. The platform supports custom controls via JavaScript or CoffeeScript, giving experienced developers the ability to extend their capabilities when needed.

Bob’s advocacy for DronaHQ stems from its promise of speed and efficiency, especially under tight deadlines:

Low-Code Speed

DronaHQ’s drag-and-drop interface enables rapid prototyping. A functional dashboard can be built in hours rather than weeks—perfect for internal tools.
Control Designer

Need custom functionality? Control Designer lets you create bespoke controls with JavaScript or CoffeeScript.
Simplified Data Integration

Connecting to APIs, databases, or external services is straightforward. For example, setting up a REST API connection takes minutes with DronaHQ’s pre-built connectors.
Cross-Platform Compatibility

Build once, deploy everywhere. Apps created on DronaHQ work seamlessly on both web and mobile platforms.
Built-In Logic and Workflows

Visual workflows handle common application behaviours, like form submissions or data validations, reducing the need for custom code.

DronaHQ empowers both developers and business users, making it ideal for internal tools, dashboards, and quick prototypes.

How They Are Similar

Despite their different approaches, React and DronaHQ share several core principles:

Component-Based Design: Both platforms emphasize building UIs through modular, reusable components—React with JSX components, DronaHQ with pre-built widgets.
Dynamic Data Binding: The use of props and state in React is analogous to DronaHQ’s data bindings and dynamic property — enabling responsive interfaces.
Event Handling:Both frameworks offer support for interactive, event-driven experiences, enabling developers to define how applications interact with the user.
Customization: React allows for extensive custom logic through JavaScript, while DronaHQ’s Control Designer offers similar capabilities within a low-code environment.
Extensibility: Both can be extended beyond their default offerings—React through third-party libraries, and DronaHQ through custom JavaScript integrations.

How They Are Different

The distinctions between React and DronaHQ become apparent when considering their target audiences and development paradigms:

Feature	React	DronaHQ
Audience	Professional Developers	Developers and Business Users
Coding Required	Extensive Coding Necessary	Minimal Coding with Drag-and-Drop
Customization	Unlimited, Requires Manual Implementation	Limited, Achieved Rapidly
Integration	Manual Integration with External Tools	Built-In Connectors and Workflows
Development Speed	Variable, Depending on Complexity	Rapid Prototyping and Deployment

React offers a blank canvas for developers to craft tailored solutions, while DronaHQ provides pre-built components for swift assembly.

How They Can Coexist

The synergy between React and DronaHQ can be harnessed to combine speed with customization:

Embedding React Components in DronaHQ: DronaHQ’s Custom control allows for the integration of custom React components, enabling advanced functionalities within a low-code environment.
Complementary Use Cases: Utilize DronaHQ for rapid development of internal tools, while employing React for complex, customer-facing applications requiring bespoke features.
State Management and Routing: Leverage React’s robust state management and routing capabilities alongside DronaHQ’s backend workflows and integrations.
API and Data Handling: DronaHQ’s simplified API connections can serve as data sources for custom React components, streamlining development.

By combining React’s flexibility with DronaHQ’s efficiency, teams can achieve both rapid development and scalability.

A significant number of large enterprises are leveraging low-code platforms to expedite application development processes, addressing the shortage of skilled developers and the increasing demand for digital solutions.

React vs. DronaHQ or React + DronaHQ?

There is no mutual exclusiveness between React and DronaHQ, both together playing with each other takes the best gift from both worlds—the speed of development and customization. DronaHQ, for instance, enables the quick creation of internal tools or prototypes, while React can introduce highly custom components to those internally facing applications. DronaHQ’s Custom Control Designer even lets developers embed React components directly into the platform’s low-code environment, achieving astonishing levels of functionality while still gaining the speed benefits of low-code development.

The decision between React and DronaHQ should be guided by project requirements:

Choose React: For applications demanding high customization, complex logic, or unique designs.
Opt for DronaHQ: For internal tools, dashboards, or applications requiring swift development and deployment.
Combine Both: For projects where rapid development is essential, but certain features necessitate deep customization—start with DronaHQ and extend with React as needed.

Final Thoughts

In the ever-evolving tech landscape, the choice of tools should be dictated by project needs rather than allegiance to a particular technology. React and DronaHQ are not mutually exclusive; their combined strengths can lead to efficient and effective development processes.

As Alice and Bob discovered, sometimes the best solution is not choosing between tools, but integrating them to leverage the strengths of both. So, when faced with the question, “React or DronaHQ?” consider responding with, “Why not both?”

For a visual guide on customizing UI controls in DronaHQ, you might find this tutorial helpful:

How to Customize UI Controls Using Control Designer

🎥 Watch the Video Tutorial:

Click the image or this link to watch the full tutorial.

Setting up WebSocket in DronaHQ

SHIBAM — Wed, 22 Jan 2025 13:00:00 +0000

The challenge begins with a fundamental need for real-time data across diverse applications, whether this be live updates for cryptocurrency prices, shares on the stock, or even sensor readings from IoT devices and live messages in a chat program—solved in a way that does not require refreshing the entire page over and over or complicated backend design to pull new data. You can do this with DronaHQ Global JS Objects and WebSocket support.

In this blog, we will learn how to utilize WebSocket connections in DronaHQ to create an interactive dashboard for real-time data.

By tapping into the flexibility of Global JS Objects, you can define reusable functions and variables that power seamless live data updates across your applications. For developers looking to boost user engagement, or professionals looking to build dashboards for real-time monitoring, this project demonstrates how WebSockets and DronaHQ can be a game-changer.

What the WebSocket project is about

Real-time data streaming:
The project focuses on connecting DronaHQ apps to WebSocket endpoints, such as Binance’s WebSocket API, to fetch live data and display it instantly. This eliminates delays and provides users with up-to-the-second information.
Dynamic and reusable design:
The WebSocket connection logic is encapsulated in reusable Global JS Objects, which can be called from any app within the DronaHQ account. This ensures that developers can set up similar projects with minimal effort.
Interactive user interface (UI):
The UI of the project is designed to display live trade data for cryptocurrencies (e.g., Bitcoin, Ethereum) or any other data stream. It updates dynamically as new data is received, creating an engaging user experience.

What are Global JS objects?

DronaHQ’s Global JS Objects allow you to define functions and variables that can be accessed globally within your account. These objects can be used in various contexts such as Data Binding, Event Actions, JS Transform, and other places that support JavaScript. Once saved, the objects are accessible from any app, enabling seamless reuse across your applications.

Key benefits:

It consists of reusable JavaScript functions and variables.
Extend them globally and across all apps.
Improve code flexibility and reduce code redundancy.

User interface (UI) overview

Table grid for real-time data:
- Purpose: The table grid is the central component of the UI. It displays the live trade data for the selected symbol.
- Columns in the Table Grid:
  - Symbol: The trading pair (e.g., BTCUSDT for Bitcoin to USDT).
  - Time: The exact timestamp of the latest trade, formatted to the user’s local time.
  - Price: The live price of the asset or data point, updated in real-time.
- Behavior: Whenever a new trade or update is received via WebSocket, the table grid updates automatically without requiring a page reload.
Start/stop WebSocket buttons:
- Purpose: Allows users to start or stop the WebSocket connection.
- Start Button: Initiates the WebSocket connection for the entered symbol and begins streaming live data to the table grid.
- Stop Button: Safely closes the WebSocket connection and clears the table grid.
Input Field for Symbol Selection:
- Purpose: Enables the user to enter the trading pair (e.g., BTCUSDT) or any relevant identifier required to connect to the WebSocket endpoint.
- Behavior: The entered symbol is passed to the startWebSocket function, which uses it to establish a connection.

WebSocket implementation

WebSockets allow for full-duplex communication channels over a single TCP connection, allowing a server to push data to a client when it is available, making this technology best suited for use cases such as financial dashboards, chat applications, or IoT dashboards that require real-time updates at all times. In DronaHQ, the WebSocket connections are useful in building dynamic interfaces, which will get updated instantly without refreshing or polling.

To know more about the working of WebSockets with DronaHQ, click here. Below is an example of how to set up a WebSocket connection using Global JS Objects.

Code Walkthrough

let socket = null; // Store the WebSocket connection
let tableData = {}; // Object to store the latest data for the symbol

// Function to display messages in the console
function logToConsole(message) {
    console.log(message);
}

// Function to start WebSocket connection for a single symbol
function startWebSocket(symbol) {
    const streamUrl = `wss://stream.binance.com:9443/ws/${symbol}@trade`; // WebSocket URL for the symbol
    socket = new WebSocket(streamUrl);

    socket.addEventListener("open", () => {
        logToConsole(`Connected to WebSocket for ${symbol}.`);
    });

    socket.addEventListener("message", (event) => {
        const data = JSON.parse(event.data);
        const price = parseFloat(data.p).toFixed(2); // Extract price
        const symbol = data.s.toUpperCase(); // Symbol (e.g., BTCUSDT)
        const time = new Date(data.T).toLocaleTimeString(); // Time (formatted)

        // Log received message details
        logToConsole(`Received data for ${symbol}: Time - ${time}, Price - $${price}`);

        // Update tableData with the latest trade data for the symbol
        tableData[symbol] = {
            time: time,
            price: `$${price}`,
        };

        const temp = [{
            time: time,
            price: `$${price}`,
        }];

        // Log the updated table data to the console
        logToConsole(`Updated tableData for ${symbol}:`, temp);

        // Set the updated table data in the control
        UTILITY.SETCTRLVALUE([{ name: "tablegrid", value: temp }]);
    });

    socket.addEventListener("error", (error) => {
        logToConsole(`WebSocket Error for ${symbol}: ${error.message}`);
    });

    socket.addEventListener("close", () => {
        logToConsole(`WebSocket connection closed for ${symbol}.`);
    });
}

// Function to stop the WebSocket connection
function stopWebSocket() {
    if (socket) {
        logToConsole("Closing WebSocket connection...");
        socket.addEventListener("close", () => {
            logToConsole("WebSocket connection confirmed closed.");
        });
        socket.addEventListener("error", (error) => {
            logToConsole(`Error while closing WebSocket: ${error.message}`);
        });
        socket.close();
        socket = null;
        logToConsole("WebSocket connection stopped.");
    } else {
        logToConsole("No active WebSocket connection to stop.");
    }
}

// Export the functions to DronaHQ
const ExportModule = {
    startWebSocket: startWebSocket,
    stopWebSocket: stopWebSocket,
};

Explanation:

Start WebSocket This functionality connects to a specific symbol’s data stream and listens for real-time trade data. It dynamically updates the UI using UTILITY.SETCTRLVALUE, ensuring that users see the latest information without manual intervention. Click here to learn more about using UTILITY.SETCTRLVALUE and other utility methods in DronaHQ.
Stop WebSocket The stopWebSocket function safely terminates the active WebSocket connection and nullifies the reference to the WebSocket instance. This helps prevent resource leaks and ensures that no unwanted data continues to flow into the app.

Data queries setup

In DronaHQ, you can use the startWebSocket and stopWebSocket functions in Data Queries to integrate WebSocket functionality into your apps. Below are two queries:

Writing Data Query

Explanation of WebSocket queries

Start WebSocket Query

The start_websocket query is designed to establish a WebSocket connection for a specific data stream. It takes a symbol as a parameter (e.g., a cryptocurrency pair like BTCUSDT or a stock ticker) and initiates the WebSocket connection to receive real-time updates for that symbol.
Stop WebSocket Query

The stop_websocket query is responsible for safely closing the active WebSocket connection. In addition, it resets the associated data grid in the UI, ensuring that no outdated or unnecessary information is displayed after the connection is terminated.

async function JSCode(output) {
    if (typeof Formbuilder == "undefined") {
        JSOBJECTS.stopWebSocket();
    }
    UTILITY.SETCTRLVALUE([{ name: "tablegrid", value: [] }]);
    return output;
}

Trigger WebSocket

To integrate WebSocket functionality into your app, you need to configure triggers through the Action Flow of button controls.

Here’s a step-by-step breakdown to configure the Trigger actions:

Navigate to the Action Flow for the button controls (e.g., Start, Cancel) in your app.
Add a Data and Keyword action for Run Data Query.
From the drop-down list, select the data query that was pre-configured and hit Save.
Repeat this for both the Open and Close buttons, ensuring each button is linked to its respective data query.

How it works

Start the WebSocket Connection:
- When you preview the application, enter the desired currency pair in the input field and click the Start button.
- This triggers the Open button’s data query, which establishes the WebSocket connection.
Fetch and Update Data:
- Once the connection is established, the system will fetch the details of the currency pair you specified. These details are passed as arguments to the WebSocket connection.
- Using a utility function, the data fetched from the WebSocket is then used to dynamically update the table grid control, which is populated with the latest currency pair data.
Continuous Data Update:
- Since WebSocket operates as a continuous, real-time connection, the system will keep fetching and displaying the updated currency data. The table grid will automatically refresh every time new data arrives.
- This process ensures that the table reflects the most current data without any manual refresh.
Close the Connection:
- When you’re finished and want to stop receiving data, simply click the Cancel button.
- This action triggers the Close button’s data query, which disconnects the WebSocket and halts the continuous data updates.

Key considerations:

Your Practice: Validate and Secure All Your Custom Code
Close WebSocket connections properly to avoid resource leaks.

This project showcases the power of WebSockets in creating highly interactive and real-time applications using DronaHQ. The intuitive UI, combined with reusable JavaScript code, makes it easy for developers to implement live data streaming for various use cases. By following this guide, you can build robust, scalable, and responsive apps that meet modern user expectations for real-time interactivity.

DEV Community: SHIBAM

Intent-Driven Assertions are Redefining How We Test Software

What Are Intent-Driven Natural Language Assertions?

Harness AI Test Automation Solving Traditional Testing Issues

How Harness AI Test Understands and Validates Your Intent

How Teams Use Harness AI Assertions

Transforming QA with Harness AI: Faster, Smarter, Reliable

Introduction to Alibaba Cloud RDS (Relational Database Service) Management

Scaling Web Applications with Alibaba Cloud Auto Scaling

Skip the Pixel Pushing: Build Stunning UIs in DronaHQ with Figma + AI

What’s Inside the DronaHQ Figma Design Kit?

Why This is a Big Deal for Designers and Developers

Developer-Specific Gains

The Hidden Cost of Not Using a Design System

How It Works: Figma to DronaHQ

Upload designs into DronaHQ apps

HTML/CSS Export to Control Designer

Choosing Between PNG Uploads and HTML/CSS Exports

Using DronaHQ’s Figma Kit Right

Resources and Quick Links

DevOps Reimagined: From Jenkins to AIOps and the Rise of Intelligent Automation – Part II

🔒 DevSecOps: Where Security is Built-In, Not Bolted On

🤖 Rise of Internal Developer Platforms (IDPs)

⟳ Continuous Everything

👨‍💻 DevEx: The New North Star for DevOps

🧠 Culture Still Matters: The Human Side of DevOps

🔮 What’s Next in DevOps?

🖊️ Final Thoughts

📚 Resources to Follow

🔥DevOps Reimagined: From Jenkins to AIOps and the Rise of Intelligent Automation – Part I

🚀 Introduction: The DevOps Revolution — Then and Now

🌐 The Core Principles of DevOps: Modern Take

🚗 The Modern DevOps Stack: What's In and What's Out

What’s fading:

What’s hot:

⚙️ Automation Beyond Pipelines

☁️ Cloud-Native & Kubernetes: Now Just the Foundation

📊 DevOps Meets Observability

🧠 AIOps: The AI Layer Over DevOps

🔥 Mastering HTTP Requests in JavaScript (2025 Guide)

🚀 What Are HTTP Requests?

⚡ The Native Hero: fetch()

✅ Basic GET Request:

✅ POST Request with Headers:

🔧 fetch() Options:

💎 Axios: The Developer Favorite

✅ Install:

✅ Basic GET:

✅ POST with Config:

🔥 Features:

🧪 Old-School: XMLHttpRequest (XHR)

🔁 Modern Pattern: Async/Await

🌐 Adding Query Params

Manual (Fetch):

Axios-friendly:

📦 Handling FormData (File Uploads)

🚨 Error Handling Like a Pro

With fetch():

With Axios:

🔁 Multiple Requests at Once

📊 Fun Dev Stats (2025 Edition)

✅ Summary

🔚 Final Thoughts

🤖 Getting Started with AI in JavaScript: A Beginner's Guide to the Future of Web Development : Part -II

🧠 Trendy: Using Transformers.js for LLMs in the Browser

🚀 What is Transformers.js?

🔨 Build: AI Text Generator in the Browser

1. Add the Script

2. Generate Text

✅ Output Example:

🧠 Use Case 2: Smart UI Assistant with Brain.js

🧪 Code: AI-Based Sentiment Predictor

🌎 Real-World AI x JavaScript Use Cases

🔍 Use Case: AI as a Browser Extension (New & Cool!)

🧠 Bonus: Using OpenAI API from JavaScript

📜 Setup

🤖 Getting Started with AI in JavaScript: A Beginner's Guide to the Future of Web Development : Part -I

🤖 Getting Started with AI in JavaScript: A Beginner's Guide to the Future of Web Development

🧠 What You'll Learn

📌 Why Should JavaScript Developers Care About AI?

⚡ The Native Hero: `fetch()`

🔧 `fetch()` Options:

🧪 Old-School: `XMLHttpRequest` (XHR)

With `fetch()`: