DEV Community: Saliha Chudhary

Serverless Development Explained

Saliha Chudhary — Mon, 07 Sep 2026 05:35:47 +0000

Serverless Development Explained

Serverless development is a modern approach to building and running applications without requiring developers to manage traditional servers. Despite its name, serverless does not mean that servers are completely absent. Instead, cloud providers manage the underlying infrastructure, allowing developers to focus primarily on writing code and creating application features. This approach has become increasingly popular because it can simplify development, reduce infrastructure management, and support applications that need to scale quickly.

How Serverless Development Works

In a serverless architecture, applications are commonly divided into small functions that perform specific tasks. These functions are executed when an event occurs, such as a user submitting a form, uploading a file, or making an API request. Cloud platforms automatically provide the computing resources needed to run these functions and can increase or decrease resources based on demand.

Popular serverless platforms include AWS Lambda, Azure Functions, and Google Cloud Functions. Developers can use these services to create backend functionality without configuring or maintaining physical or virtual servers.

Benefits of Serverless Architecture

One major advantage of serverless development is scalability. Applications can automatically handle changing workloads without developers manually adding servers. Serverless can also reduce operational responsibilities because the cloud provider handles infrastructure maintenance, updates, and much of the resource management.

Another benefit is cost efficiency. With many serverless services, developers generally pay based on actual usage rather than maintaining continuously running infrastructure. This can be particularly useful for applications with unpredictable or occasional traffic.

Challenges of Serverless Development

Serverless architecture also has challenges. Developers may face execution limits, cold-start delays, vendor dependency, and difficulties debugging distributed applications. Therefore, serverless is not the ideal solution for every project.

Overall, serverless development provides a flexible way to build modern cloud applications. By understanding its benefits, limitations, and best use cases, developers can decide when serverless architecture is the right choice for their projects.

Database Technologies Every Developer Should Learn

Saliha Chudhary — Mon, 07 Sep 2026 05:31:28 +0000

# Database Technologies Every Developer Should Learn

Databases are a fundamental part of modern software development because almost every application needs to store, organize, and retrieve information. From websites and mobile apps to AI platforms and business systems, developers rely on databases to manage user accounts, products, transactions, messages, and much more. Learning database technologies is therefore an important skill for anyone who wants to become a successful developer in 2026.

SQL and Relational Databases

Every developer should understand SQL, the language used to communicate with relational databases. Popular relational database systems include PostgreSQL, MySQL, and Microsoft SQL Server. These databases organize information into tables and are especially useful when applications require structured data, relationships, and reliable transactions. Learning how to create tables, write queries, use joins, and optimize indexes provides a strong foundation for backend development.

NoSQL Databases

NoSQL databases have become increasingly important for applications that handle flexible or large-scale data. MongoDB is a popular document database that stores information in flexible, JSON-like structures. Developers should understand when NoSQL is more appropriate than a relational database, particularly for rapidly changing data models and certain high-scale applications.

Redis and Caching

Redis is an in-memory data store commonly used for caching, session management, queues, and real-time applications. Understanding caching can help developers improve application speed and reduce unnecessary database queries.

Choosing the Right Database

The best database depends on the application's requirements. Developers should consider data structure, scalability, performance, consistency, security, and project complexity before making a choice. Learning both SQL and NoSQL concepts gives developers greater flexibility.

Ultimately, database knowledge is not just about memorizing commands. It is about understanding how data should be stored, accessed, protected, and optimized. Strong database skills can make developers more effective at building reliable, scalable, and high-performing applications.

How to Build a Strong Developer Portfolio in 2026

Saliha Chudhary — Sat, 05 Sep 2026 07:34:52 +0000

Here’s a concise, SEO-friendly 300-word article you can use for a Dev blog or Medium post.

How to Build a Strong Developer Portfolio in 2026

In 2026, having a strong developer portfolio is one of the best ways to showcase your technical skills, experience, and creativity. A resume can tell employers what you know, but a portfolio can demonstrate what you can actually build. Whether you are a beginner, freelancer, or experienced software developer, an impressive online portfolio can help you stand out in a competitive technology job market.

Choose the Right Projects

The foundation of a strong developer portfolio is a collection of useful and well-built projects. Instead of adding dozens of small tutorials, focus on three to five high-quality projects that [demonstrate different](https://fashionblogbysana.blogspot.com/abilities. Consider creating a responsive website, a full-stack application, an API, an automation tool, or an AI-powered application. Choose projects that solve real problems and clearly demonstrate your programming skills.

Highlight Your Technical Skills

Your portfolio should make your technical expertise easy to understand. Mention the programming languages, frameworks, databases, cloud platforms, and development tools you have worked with. For example, you might showcase skills in JavaScript, Type Script, Python, React, Node.js, SQL, Git, Docker, or cloud technologies. Only include technologies you can confidently discuss.

Make Your Portfolio Professional

A clean and responsive design is essential in 2026. Your portfolio should load quickly, work well on mobile devices, and have simple navigation. Include a short introduction, an About section, Projects section, technical skills, and contact information. Each project should explain the problem, your solution, technologies used, and your contribution.

Include GitHub and Live Demos

Whenever possible, provide links to your GitHub repositories and live project demonstrations. Well-organized code, useful documentation, meaningful commit history, and clear README files can make your work more credible.

Keep Improving Your Portfolio

Technology changes quickly, so your portfolio should evolve with your skills. Regularly add new projects, improve older work, update your technologies, and remove outdated examples. A focused, modern, and authentic portfolio can help you attract employers, clients, and other developers in 2026.

The Most In-Demand Developer Skills for 2026

Saliha Chudhary — Thu, 03 Sep 2026 11:04:02 +0000

Here is a polished 300-word, SEO-friendly article on your topic:

The Most In-Demand Developer Skills for 2026

The software development industry is evolving faster than ever, and developers need to continuously improve their skills to stay competitive. In 2026, employers are looking for professionals who can combine strong programming fundamentals with modern technologies such as artificial intelligence, cloud computing, cybersecurity, and automation. Learning the right developer skills can help beginners enter the industry and experienced programmers advance their careers.

Artificial Intelligence and Generative AI

Artificial intelligence is one of the most valuable skills for developers in 2026. Developers who understand machine learning, generative AI, AI APIs, and AI-powered applications can contribute to a growing number of technology projects. Knowing how to use AI coding assistants effectively can also improve productivity and help developers write, test, and debug code more efficiently.

Cloud Computing

Cloud computing remains an essential area of software development. Knowledge of platforms such as AWS, Microsoft Azure, and Google Cloud can help developers build and manage scalable applications. Understanding containers, serverless architecture, cloud databases, and deployment processes can make developers more attractive to employers.

Full-Stack Development

Full-stack development continues to be highly valuable. Developers who understand frontend technologies such as HTML, CSS, JavaScript, React, and modern frameworks, along with backend technologies such as Python, Node.js, Java, and databases, can build complete applications from start to finish.

Cybersecurity and Secure Coding

As online threats continue to increase, cybersecurity knowledge is becoming important for every developer. Understanding authentication, authorization, data protection, secure APIs, and common software vulnerabilities can help developers create safer applications.

Problem-Solving and Adaptability

Technical knowledge is only part of becoming a successful developer. Strong problem-solving, communication, teamwork, and adaptability are equally important. Technology changes constantly, so developers who continue learning and experimenting with new tools will have a significant advantage in 2026.

Overall, the most in-demand developer skills for 2026 combine coding expertise with AI, cloud computing, cybersecurity, and strong problem-solving abilities.

The Most In-Demand Tech Skills for Developers in 2026

Saliha Chudhary — Wed, 02 Sep 2026 10:30:36 +0000

The Most In-Demand Tech Skills for Developers in 2026

Technology is changing faster than ever, and developers need to continuously improve their skills to stay competitive. In 2026, companies are looking for developers who can work with modern technologies while also understanding how to solve real-world problems. Whether you are a beginner or an experienced programmer, learning the right skills can create better career opportunities.

Artificial Intelligence and Machine Learning

AI and machine learning are among the most valuable skills for developers in 2026. Developers who understand AI models, APIs, automation, and machine learning fundamentals can build smarter applications and improve existing products.

AI-Assisted Development

AI coding tools are becoming an important part of modern software development. Knowing how to effectively use AI assistants for code generation, debugging, testing, documentation, and code reviews can significantly improve developer productivity.

Cloud Computing

Cloud platforms such as AWS, Microsoft Azure, and Google Cloud remain essential for modern applications. Developers should understand cloud deployment, storage, databases, APIs, and basic cloud security.

Cyber security

As applications become more connected, security is increasingly important. Developers should understand secure coding practices, authentication, authorization, data protection, and common web vulnerabilities.

Full-Stack Development

Full-stack developers who can work with both frontend and backend technologies remain highly valuable. Knowledge of JavaScript or TypeScript, modern frontend frameworks, APIs, databases, and backend development can open many career opportunities.

DevOps and Automation

Understanding Git, CI/CD, containers, and deployment automation can help developers deliver software faster and more reliably. Basic knowledge of Docker and is also increasingly useful.

Conclusion

The developer landscape in 2026 is focused on AI, cloud computing, cyber security, automation, and strong software engineering fundamentals. Developers don't need to master everything at once. Instead, choose a few skills that match your career goals and practice them through real projects. Continuous learning will remain one of the most important skills of all.

Best Programming Languages to Learn in 2026

Saliha Chudhary — Tue, 01 Sep 2026 05:26:49 +0000

Best Programming Languages to Learn in 2026

Choosing the right programming language can make a big difference for anyone starting or advancing a career in technology. In 2026, several programming languages remain highly valuable because of their strong communities, wide range of applications, and demand across the software industry. The best choice ultimately depends on your career goals and the type of projects you want to build.

1. Python

Python continues to be one of the best programming languages to learn in 2026. Its simple syntax makes it suitable for beginners, while its powerful libraries support advanced development. Python is especially popular for https://fashionblogbysana.blogspot.com/[](url) machine learning, data science, automation, and backend development.

2. JavaScript and TypeScript

JavaScript remains essential for web development and can be used for both frontend and backend applications. Type Script builds on JavaScript by adding static typing and is increasingly important for professional web projects. Together, they are excellent choices for people interested in becoming full-stack developers.

3. Java

Java remains an important language for enterprise software, banking systems, large applications, and Android-related development. Its long history, mature ecosystem, and continued use by large organizations make it a valuable career skill.

4. Go

Go is a strong option for developers interested in cloud computing, DevOps, microservices, and backend infrastructure. Its simple syntax, fast compilation, and built-in concurrency make it useful for modern scalable systems.

5. Rust

Rust is gaining attention for systems programming, performance-focused applications, and secure software. It provides strong memory safety while maintaining high performance, although it has a steeper learning curve than Python or JavaScript.

Conclusion

There is no single best programming language for everyone in 2026. Beginners interested in AI and data can start with Python, while aspiring web developers should consider JavaScript and Type Script. Go and Rust are excellent choices for cloud and systems development, while Java remains valuable for enterprise careers. Choose a language that matches your goals and focus on building real projects as you learn.

Developer productivity and AI-native workflows

Saliha Chudhary — Mon, 31 Aug 2026 11:32:05 +0000

Developer Productivity and AI-Native Workflows

Software development is changing rapidly as artificial intelligence becomes part of the everyday developer workflow. AI is no longer limited to generating simple code snippets. Modern developers are using AI tools to plan features, write code, understand unfamiliar codebases, debug errors, create tests, review pull requests, and improve documentation.

An AI-native workflow means designing the development process around AI from the beginning rather than treating AI as an occasional assistant. For example, a developer can describe a feature in natural language, ask an AI coding assistant to create an initial implementation, run automated tests, and then use AI to identify potential problems. This can significantly reduce the time spent on repetitive tasks.

One of the biggest advantages is faster problem solving. Developers can ask AI to explain complex functions, suggest alternative approaches, or analyze error messages. This is particularly useful when working with large or unfamiliar projects. AI can also help generate unit tests, documentation, SQL queries, API integrations, and boilerplate code.

However, productivity is not simply about generating more code. Developers still need to understand architecture, security, performance, and business requirements. AI-generated code can contain bugs, outdated patterns, security vulnerabilities, or unnecessary complexity. Human review therefore remains an essential part of the workflow.

The most effective approach is a human-in-the-loop model. Developers define requirements, make architectural decisions, verify AI suggestions, and take responsibility for the final code. AI handles repetitive work and accelerates exploration, while developers provide judgment and context.

As AI capabilities continue to improve, developer productivity will increasingly depend on how effectively engineers collaborate with intelligent tools. The future developer may spend less time typing every line of code and more time designing systems, validating ideas, reviewing results, and solving higher-level problems.

AI-native development is not about replacing developers. It is about giving developers better tools to build software faster, smarter, and with greater focus.

If you want, I can also turn this into a Dev.to-style article with a catchy title, intro hook, headings, and tags.

10 Developer Skills That Will Matter Most in 2026

Saliha Chudhary — Fri, 28 Aug 2026 04:31:25 +0000

10 Developer Skills That Will Matter Most in 2026

Technology is changing faster than ever, and developers need to continuously update their skills to stay relevant. In 2026, knowing how to write code is still important, but modern developers also need to understand AI, cloud technologies, security, and efficient development practices.

Here are 10 developer skills that will matter most in 2026.

AI-Assisted Development

AI tools are becoming an important part of software development. Developers who know how to use AI coding assistants effectively can write, test, debug, and improve code more efficiently. The key skill is knowing how to review and validate AI-generated code rather than blindly trusting it.

JavaScript and TypeScript

JavaScript remains one of the most widely used programming languages for web development. TypeScript adds stronger typing and can make large projects easier to maintain. Understanding both can open many opportunities in frontend and backend development.

Cloud Computing

Modern applications increasingly run on cloud platforms. Developers should understand basic cloud concepts such as servers, databases, storage, deployment, and scalability. Knowledge of platforms like AWS, Azure, or Google Cloud can be extremely valuable.

Cybersecurity

Security should be part of development from the beginning. Developers need to understand common vulnerabilities, secure authentication, data protection, and safe coding practices.

API Development

APIs allow different applications and services to communicate with each other. Knowing how to design, build, test, and consume APIs is an essential skill for modern developers.

Git and Version Control

Git is a fundamental tool for professional software development. Developers should understand branching, merging, pull requests, commits, and collaborative workflows.

Database Skills

Understanding databases remains essential. Developers should know how to work with SQL databases https://fashionblogbysana.blogspot.com/2026/08/best-color-combinations-for-stylish.html and have a basic understanding of NoSQL systems when appropriate.

DevOps and CI/CD

Developers increasingly need to understand how software moves from development to production. Basic knowledge of automation, containers, testing, and CI/CD pipelines can make development workflows faster and more reliable.

Problem-Solving

Technology changes constantly, but problem-solving remains timeless. Strong developers know how to break complicated problems into smaller pieces and find practical solutions.

Communication

Technical skills aren't enough. Developers often work with designers, managers, clients, and other engineers. Clear communication, documentation, and teamwork can make a major difference.

Final Thoughts

The best developers in 2026 won't simply be those who know the most programming languages. They will be people who can combine coding knowledge with AI, cloud, security, problem-solving, and communication skills. Start learning one skill at a time, build real projects, and keep improving.

Top AI Tools for Developers and Programmers

Saliha Chudhary — Thu, 27 Aug 2026 03:52:49 +0000

Top AI Tools for Developers and Programmers

Artificial intelligence is changing the way developers and programmers write, test, debug, and manage code. In 2026, AI-powered development tools are becoming an important part of modern software development because they can save time and help developers focus on solving complex problems rather than

- repeating
routine tasks.

AI Coding Assistants

AI coding assistants are among the most useful tools for programmers. They can suggest code, complete functions, explain unfamiliar programming concepts, and help developers identify errors. These tools are especially useful when working with languages such as Python, JavaScript, Java, C++, and TypeScript. Beginners can also use AI assistants to understand code and learn programming concepts more easily.

AI Tools for Debugging

Debugging can take a significant amount of time during software development. AI-powered tools can analyze code, https://fashionblogbysana.blogspot.com/2026/08/how-to-style-basic-clothes-in-different.html potential problems, and suggest possible fixes. Instead of manually searching through hundreds of lines of code, developers can use AI to narrow down the source of an error and understand why it occurred.

AI for Code Testing

Testing is another area where artificial intelligence can improve developer productivity. AI tools can help generate test cases, identify edge cases, and analyze potential vulnerabilities. This can make the development process more efficient while helping teams improve software quality.

AI for Documentation

Writing https://fashionblogbysana.blogspot.com/2026/08/how-to-style-basic-clothes-in-different.html is essential but can be time-consuming. AI tools can explain functions, generate documentation, summarize code, and create useful comments. This is particularly helpful when developers work on large projects or inherit code written by someone else.

The Future of AI in Development

AI tools are not replacing the need for skilled https://fashionblogbysana.blogspot.com/2026/08/how-to-style-basic-clothes-in-different.html. Instead, they are becoming powerful assistants that support developers throughout the software development lifecycle. Developers who learn how to use AI responsibly can potentially improve https://fashionblogbysana.blogspot.com/2026/08/how-to-style-basic-clothes-in-different.html, reduce repetitive work, and spend more time on creativity and problem-solving.

As AI technology continues to evolve, understanding how to work effectively with AI coding tools is likely to become an increasingly valuable skill for modern developers and https://fashionblogbysana.blogspot.com/2026/08/how-to-style-basic-clothes-in-different.html.