DEV Community: Rohit Jain

Vitest: Modern Test-Driven Development Made Easy

Rohit Jain — Tue, 10 Mar 2026 06:05:55 +0000

In the fast-paced world of software development, delivering high-quality, reliable applications is crucial. This is where testing and Test-Driven Development (TDD) come into play, helping us build robust software with confidence.

Enter Vitest, a modern testing framework that pairs perfectly with TDD to make your development workflow smoother and more efficient.

Let's explore what Vitest is, why it's a game-changer, and how you can integrate it into your projects.

What is Vitest?

Vitest is a modern testing framework for JavaScript and TypeScript projects. It's built on the same lightning-fast architecture as Vite, the popular next-generation frontend tool. This means incredible speed and a fantastic developer experience right out of the box.

If you've used testing tools like Jest, Vitest will feel familiar, as it offers a highly compatible API.

Here’s a quick overview of Vitest's standout features:

Blazing Fast Execution: Leverages Vite's architecture for near-instant test runs.
Built-in Mocking: Easily isolate code for focused testing.
Snapshot Testing: Track changes in UI components or data structures.
First-Class TypeScript Support: Seamless integration for type-safe code.
Hot Module Replacement (HMR) for Tests: Get immediate feedback on code changes.
Jest-Compatible API: A smooth transition for teams familiar with Jest.

Here’s a simple Vitest example:

import { describe, it, expect } from "vitest";

function add(a, b) {
  return a + b;
}

describe("add function", () => {
  it("should add two numbers correctly", () => {
    expect(add(2, 3)).toBe(5);
  });
});

This test confirms that our add function works as expected.

Understanding Test-Driven Development (TDD)

Test-Driven Development (TDD) is an agile approach where you write tests before writing the actual code. It follows a simple, iterative Red → Green → Refactor cycle:

1. Red: Write a Failing Test

Start by writing a test for a new feature or a bug fix. Since the code doesn't exist yet, this test will fail, turning "Red." This step helps you clearly define what you want the code to do.

2. Green: Write Minimal Code

Next, write just enough code to make the failing test pass, turning it "Green." The goal here is simply to pass the test, even if the code isn't perfect.

3. Refactor: Improve the Code

With the test passing, you can safely clean up and improve your code, knowing that your tests will catch any accidental breakages.

This cycle helps you build features in small, verifiable steps, leading to more robust and maintainable code.

Getting Started with Vitest

Setting up Vitest is quick and easy.

First, install it as a development dependency:

npm install -D vitest @vitest/ui
# Requires vite >= 6.0.0 and Node >= 20.0.0

Next, create your test files using .test.js or .test.ts extensions (e.g., my-module.test.ts).

Then, add a test script to your package.json:

"scripts": {
  "test": "vitest"
}

Now, simply run your tests with npm run test.

Configuration

Vitest works seamlessly with your existing vite.config.ts. If you don't have one, you can create a vitest.config.ts file.

Here’s how you might configure it in your vite.config.ts:

// vite.config.ts
/// <reference types="vitest/config" />
import { defineConfig } from "vitest/config";

export default defineConfig({
  test: {
    // Vitest-specific options go here
    globals: true, // Example: Makes describe, it, expect globally available
    environment: "jsdom", // Example: For DOM testing
  },
});

Why Vitest Excels for TDD

Vitest is built for modern development, making it an ideal partner for TDD.

1. Blazing Fast Test Execution

Vitest's speed is a huge advantage. By using Vite's native ES module support and smart caching, tests run incredibly fast. This means you get almost instant feedback during your TDD cycles, keeping you productive and in the flow.

2. Watch Mode for Continuous Testing

Vitest's powerful watch mode automatically re-runs relevant tests whenever you change your code. Imagine this efficient workflow:

Write a failing test.
Implement just enough code to make it pass.
Instantly see the test turn green in your terminal.

This continuous feedback loop is essential for effective TDD.

3. Familiar API (Jest Compatible)

Vitest's API is very similar to Jest, which means a flat learning curve for developers. You'll find familiar utilities like describe(), it()/test(), expect(), beforeEach(), and afterEach().

4. Built-in Mocking and Spying

Testing often requires isolating components by replacing their dependencies with mock implementations. Vitest provides powerful built-in tools for this:

vi.mock(): Mocks entire modules.
vi.spyOn(): Spies on existing object methods.
vi.fn(): Creates flexible mock functions.

import { vi } from "vitest";

const fetchUser = vi.fn();
fetchUser.mockReturnValue({ name: "Alice" }); // Mock the return value

These tools help ensure your tests are focused and reliable.

5. Snapshot Testing

Vitest's snapshot testing is great for ensuring your UI components or complex data structures remain consistent. It captures a "snapshot" of the output and compares it against future runs, flagging any unintended changes. This is particularly useful for frontend frameworks.

Practical Vitest Tips

Here are some quick tips to enhance your Vitest experience:

Specify a Timeout: Add a third argument to test() to set a custom timeout (in milliseconds).

  test("should complete within 1 second", () => {
    // ...
  }, 1000);

Skip/Focus Tests: Use test.skip() or describe.skip() to ignore tests temporarily. Use test.only() or describe.only() to focus on specific tests.
Mark Tests as Pending: Use test.todo() to indicate planned tests.

  test.todo("should handle edge cases");

Concurrent Tests: Run tests in parallel using it.concurrent() or describe.concurrent() for faster execution.
Code Coverage: Get a report on how much of your code is covered by tests by adding "coverage": "vitest run --coverage" to your package.json scripts.
In-Source Testing: A unique feature where you can write tests directly alongside your production code. Vitest only includes them during test runs.

  export function add(a: number, b: number): number {
    return a + b;
  }

  if (import.meta.vitest) {
    const { it, expect } = import.meta.vitest;
    it("add", () => {
      expect(add(1, 2)).toBe(3);
    });
  }

Vitest UI: Access a built-in graphical interface for running tests and viewing results by adding --ui to your test script: "test": "vitest --ui". This typically opens at http://localhost:1337/__vitest__/#/ for a visual overview of your tests.

TDD Example with Vitest: The `multiply` Function

Let's walk through the TDD cycle with a simple multiply function.

Step 1: Write a Failing Test (`math.test.js`)

import { describe, it, expect } from "vitest";
// The 'multiply' function doesn't exist yet, so this will fail!
import { multiply } from "./math";

describe("multiply", () => {
  it("should multiply two numbers", () => {
    expect(multiply(2, 3)).toBe(6);
  });
});

Running npm run test will show a red, failing test because multiply is not yet defined.

Step 2: Implement the Function (`math.js`)

export function multiply(a, b) {
  return a * b;
}

Now, with Vitest's watch mode active, or by running npm run test again, the test will turn green!

Step 3: Refactor if Needed

With the test passing, you can now confidently refactor the multiply function if there's a better way to implement it, knowing your test will catch any regressions.

Vitest in the AI Development Era

The rise of AI-powered code generation tools boosts productivity but also introduces challenges in ensuring code quality. This makes TDD and robust automated testing with Vitest even more critical. Tests act as a safety net, allowing teams to:

Verify AI-generated code snippets.
Prevent regressions when integrating new AI-produced features.
Maintain stable production deployments.
Confidently refactor and evolve code, regardless of its origin.

When Should You Use Vitest?

Vitest is an excellent choice if you are:

Building new projects with Vite.
Developing modern JavaScript or TypeScript applications.
Actively practicing Test-Driven Development.
Considering migrating your testing setup from Jest.
Creating scalable frontend or full-stack applications.

Final Thoughts

Vitest provides a fast, modern, and developer-friendly testing environment. By embracing Vitest, especially in conjunction with Test-Driven Development, you're not just writing code; you're building reliable, maintainable software. This ensures that speed never comes at the cost of quality, giving you confidence as your application grows and evolves.

Thanks for Reading! 🚀

Questions? Thoughts? Something unclear? Or have a topic you'd like me to explore next? I’d love to hear from you in comment section below! 🔥👇

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Read Recommendation: Feature Flags: The Release SuperPower you're missing⚡

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Feature Flags: The Release Superpower You're Missing

Rohit Jain — Sat, 07 Mar 2026 17:31:31 +0000

Deploy code anytime. Release features on your terms.

1. Introduction

Every software team, at some point, faces the same uncomfortable situation: a feature is ready to ship, but shipping it means exposing it to every user, everywhere, all at once. If something goes wrong, you're scrambling for a rollback - and rollbacks are slow, stressful, and sometimes risky in their own right.

Feature flags change that equation entirely.

A feature flag is a simple but powerful technique that lets you control which users see which features - at runtime, without touching your codebase or pushing a new deployment. Modern engineering teams at companies like Google, Netflix, Facebook, and Airbnb rely on them heavily. They're how teams ship faster, test smarter, and sleep better at night.

This post will walk you through everything: what feature flags are, how they work under the hood, the different types, how to implement them, and the best practices that separate well-run systems from ones buried in technical debt.

2. The Problem Feature Flags Solve

Traditional deployments: coupling code and features

In a traditional software workflow, releasing a feature means deploying code. The two are inseparable:

Developer writes feature code
Code gets merged to the main branch
The whole application is deployed
The feature is now live - for everyone

This approach creates real problems:

All-or-nothing releases. You can't roll out to 5% of users first. It's either live for all or live for none.
Slow recovery. If a bug surfaces, fixing it requires a new deployment cycle - which takes time.
Long-lived branches. Developers working on big features create separate branches that diverge from the main codebase, leading to painful merge conflicts.
No ability to test in production. Staging environments rarely mirror production traffic, so surprises still happen post-launch.

The modern alternative

Feature flags decouple code deployment from feature release:

Without flags:   deploy code  =  release feature  (coupled)
With flags:      deploy code  ≠  release feature  (decoupled)

You can deploy code on Monday with a feature hidden behind a flag, then release that feature to 1% of users on Wednesday, expand to 50% on Thursday, and roll it back in seconds if metrics dip - no new deployment needed.

3. What Are Feature Flags?

A feature flag (also called a feature toggle, feature switch, or feature gate) is a condition in your code that determines whether a particular feature runs or not - based on configuration that can be changed at runtime.

In its simplest form, it looks like this:

if (featureFlags.isEnabled("new_checkout")) {
  showNewCheckout();
} else {
  showOldCheckout();
}

The magic is in isEnabled(). Instead of that value being hardcoded, it's looked up dynamically - from a database, a config file, an environment variable, or a dedicated flag management platform. Change that value, and the feature turns on or off instantly, for whoever you target, without touching or redeploying your code.

4. How Feature Flags Work

Here's the step-by-step flow of how a feature flag evaluation works in a real application:

Step 1: Flag configuration is defined

Somewhere - in a database, a JSON config file, or a flag management service - you define your flags:

{
  "new_checkout": {
    "enabled": true,
    "rollout": 10,
    "owner": "payments-team"
  },
  "dark_mode": {
    "enabled": false,
    "rollout": 0
  }
}

Step 2: Application loads flag configuration

At startup (or periodically), your application loads this configuration. Production-grade SDKs (like LaunchDarkly or Unleash) download the full ruleset locally so that flag checks happen in memory - zero network latency.

Step 3: Feature flag is evaluated at runtime

When a user hits a code path that has a flag check, the flag service evaluates whether the feature should be enabled for that specific user:

Is the flag enabled?
  └── No  → run old code path
  └── Yes → Is there a rollout percentage?
              └── No  → run new code path
              └── Yes → Does this user fall in the rollout bucket?
                          └── Yes → run new code path
                          └── No  → run old code path

Step 4: User gets the appropriate experience

The correct code path executes. The user sees either the new feature or the old one - and that decision was made entirely at runtime, without any deployment.

Step 5: Metrics are tracked

Good flag systems automatically emit analytics events every time a flag is evaluated. This lets you measure the impact of a feature change in real time.

5. Types of Feature Flags

Not all flags are created equal. Different problems call for different types of flags, each with its own lifecycle and purpose.

1. Release Flags

Purpose: Hide incomplete or work-in-progress features from users until they're ready.

Release flags let developers merge code into the main branch continuously, even if the feature isn't finished yet. The code ships, but it's invisible to users.

Example:

Your team is rebuilding the checkout flow. It'll take three sprints. Instead of working on a long-lived branch, you merge your in-progress code behind a new_checkout flag. The old checkout still runs for all users. When the new one is ready and tested, you flip the flag.

Lifespan: Short - remove the flag once the feature is fully rolled out.

2. Experiment Flags (A/B Testing)

Purpose: Show different experiences to different user segments and measure which performs better.

These flags split your user base into groups and expose each group to a different variant. You then compare metrics like conversion rate, click-through rate, or time on page.

Example:

Half your users see a "Buy Now" button in green. The other half see it in blue. After a week of data, you roll out whichever color converts better.

User A → bucket 0–49 → sees green button
User B → bucket 50–99 → sees blue button

Lifespan: Short - once the experiment concludes and a winner is picked, ship the winner and delete the flag.

3. Ops Flags (Kill Switches)

Purpose: Act as circuit breakers for production systems. Disable a feature instantly when something goes wrong.

These are emergency controls. If a new recommendation engine is hammering your database, you flip a kill switch to disable it immediately - no rollback, no deployment, no downtime.

Example:

Your new AI-powered search feature causes a spike in database load during peak traffic. An ops flag lets you turn it off in seconds while the team investigates.

Lifespan: Long - kill switches are often kept around permanently as a safety net.

4. Permission Flags (Entitlement Flags)

Purpose: Gate features behind user roles, subscription tiers, or access levels.

These flags control who has access to what based on identity or plan - not just a percentage rollout.

Example:

Advanced analytics dashboards are available only to enterprise customers. Beta features are visible only to internal testers. Admin-only tools are hidden from regular users.

if (user.plan === "enterprise") → show advanced analytics
if (user.role === "admin")      → show admin panel

Lifespan: Long - these often represent permanent product distinctions between plans.

5. Configuration Flags

Purpose: Change application behavior or parameters without redeploying.

Not quite a feature on/off switch - more like a dial. These let you tune system behavior dynamically.

Example:

Adjusting the maximum file upload size, switching between two third-party payment providers, or changing the timeout threshold on an API call - all without touching code.

Lifespan: Medium - depends on whether the configuration is temporary or permanent.

Summary

Flag Type	Primary Use	Lifespan
Release	Gradual feature rollout	Short
Experiment	A/B testing	Short
Ops / Kill Switch	Emergency shutdown	Long
Permission	Role/plan-based access	Long
Configuration	Runtime behavior tuning	Medium

6. Simple Implementation

Let's build a minimal but solid feature flag system from scratch, and walk through exactly what each piece does.

Step 1: Define your flags in a config

{
  "new_dashboard": { "enabled": true, "rollout": 20 },
  "dark_mode": { "enabled": false, "rollout": 0 }
}

enabled - is the flag active at all?
rollout - what percentage of users should see this? (0–100)

Step 2: Build the flag evaluation service

class FeatureFlagService {
  constructor(flags) {
    // Store the flag configuration when the service starts
    this.flags = flags;
  }

  isEnabled(flagName, userId = null) {
    // Look up the flag by name
    const flag = this.flags[flagName];

    // If the flag doesn't exist or is disabled, return false immediately
    if (!flag || !flag.enabled) return false;

    // If rollout is 100%, everyone gets it - no need to calculate
    if (flag.rollout >= 100) return true;

    // For partial rollouts, determine which "bucket" the user falls into
    if (userId && flag.rollout > 0) {
      const bucket = this.getUserBucket(userId, flagName);
      return bucket < flag.rollout;
      // If rollout is 20, users with bucket 0–19 see the feature (20%)
    }

    return false;
  }

  getUserBucket(userId, flagName) {
    // Combine userId + flagName so the same user gets DIFFERENT buckets
    // for different flags (avoids correlation between rollouts)
    const input = `${flagName}.${userId}`;

    // Simple hash function: produces a number from the string
    let hash = 0;
    for (let i = 0; i < input.length; i++) {
      hash = (hash << 5) - hash + input.charCodeAt(i);
      hash |= 0; // Convert to 32-bit integer
    }

    // Return a stable number between 0 and 99
    return Math.abs(hash) % 100;
  }
}

Line-by-line breakdown:

constructor(flags) - loads the flag config when the service initializes
isEnabled(flagName, userId) - the main method you call from your app
if (!flag || !flag.enabled) return false - early exit: flag is off or doesn't exist
getUserBucket(userId, flagName) - hashes user + flag name into a stable 0–99 number
return bucket < flag.rollout - if rollout is 20, buckets 0–19 return true (20% of users)

The consistent hashing is critical. A user who hashes to bucket 15 will always hash to bucket 15 for a given flag. This means they won't see a feature "flicker" - they're either in or out, every single time.

Step 3: Use it in your application

// Initialize with your config
const flags = new FeatureFlagService(loadFlagsFromConfig());

// Later, in your app code:
const userId = getCurrentUser().id;

if (flags.isEnabled("new_dashboard", userId)) {
  renderNewDashboard();
} else {
  renderOldDashboard();
}

In a React frontend:

function Dashboard({ userId }) {
  const flags = useFeatureFlags(); // custom hook wrapping the service

  return flags.isEnabled("new_dashboard", userId) ? (
    <NewDashboard />
  ) : (
    <OldDashboard />
  );
}

This is all it takes to get started. Real systems add more - targeting rules, streaming updates, audit logs - but the core logic is exactly this.

7. Real-World Example: Safe Deployment at Scale

Let's trace through a real scenario: your team is shipping a redesigned checkout experience.

The old way (no flags)

Build the new checkout → merge to main → deploy to production
100% of users hit the new checkout immediately
An edge case bug causes 3% of orders to fail silently
Revenue is dropping before anyone notices
Scramble to hotfix and redeploy - takes 45 minutes

The new way (with flags)

Week 1 - Deploy hidden:

The new checkout code ships to production behind a new_checkout flag set to enabled: false. Zero users see it. Zero risk.

Week 2 - Internal testing:

Set rollout: 0, but add a targeting rule: if user.role == "employee" → serve: true. Your whole team uses the new checkout in production, catching real bugs with real data.

Week 3 - Canary rollout:

Day 1:  rollout: 1    → 1% of users
Day 2:  rollout: 5    → monitor error rates, latency, conversion
Day 3:  rollout: 20   → still looking good
Day 5:  rollout: 50
Day 7:  rollout: 100  → full launch

Something goes wrong at 20%?

Flip the flag back to rollout: 0 in under 10 seconds. No deployment needed. The other 80% never even knew anything happened.

After full launch:

Delete the flag and the old checkout code. Done.

8. Benefits of Feature Flags

Safer Deployments

Code changes are separated from feature visibility. A bug in new code only affects users in the rollout bucket, not everyone. And you can revert instantly - without a redeployment.

Faster Experimentation

Want to test a hypothesis? Define two variants, split your traffic, and get data from real users in real conditions. No waiting for the next release cycle.

Better Control Over Features

Permission flags let product teams control exactly who sees what - by plan, role, geography, or any custom attribute. You can give your enterprise customers early access, run a beta program, or offer a white-glove onboarding path without writing new deployment logic.

Continuous Delivery

Feature flags are the foundation of trunk-based development - everyone commits to main, and risky changes are always hidden behind a flag. This eliminates long-lived branches and merge conflicts, enabling teams to ship to production multiple times a day.

Instant Incident Response

Kill switches give your on-call engineers a lever to pull during an incident. Instead of a stressful 2am rollback, it's a one-click flag toggle. The problematic feature is gone in seconds.

9. Best Practices

Manage the Flag Lifecycle

Flags are temporary by design but become permanent by neglect. A flag that never gets removed is a liability:

Dead code branches no one dares to touch
Cognitive overhead: "Is this flag still active?"
Testing complexity grows exponentially (10 flags = 1,024 possible states)

Always define a flag with an expiry and an owner:

{
  "new_checkout": {
    "enabled": true,
    "rollout": 100,
    "owner": "payments-team",
    "created": "2025-01-10",
    "expires": "2025-04-10",
    "ticket": "PAY-1234"
  }
}

Add a CI check that fails the build if a flag is past its expiry date. This forces someone to either extend it deliberately or clean it up.

Avoid Technical Debt from Stale Flags

The flag lifecycle should look like this:

Create → Deploy (hidden) → Gradual rollout → 100% rollout → REMOVE FLAG

Most teams skip the last step. Don't. Schedule flag cleanup as real engineering work, not an afterthought.

Never nest flags:

// 🚫 Don't do this - impossible to reason about
if (flags.isEnabled("feature_a") && flags.isEnabled("feature_b")) { ... }

Each flag should be independently understandable.

Monitor Feature Usage

A flag without metrics is just a guess. Instrument every flag evaluation:

flags.isEnabled("new_checkout", userId);
// Should automatically emit:
// { event: "flag_evaluated", flag: "new_checkout",
//   variant: true, userId, timestamp }

Track per-variant:

Error rate - is the new variant causing more errors?
Conversion rate - is the new checkout actually performing better?
Latency - is the new code path slower?

Set automated alerts. If the error rate spikes within minutes of a flag flip, you want a Slack notification - not a 3am page two hours later.

Cache Flag Evaluations

Never call your flag server on every single operation in a loop:

// 🚫 Bad - 10,000 network calls
for (const item of items) {
  if (await flagServer.isEnabled("feature")) { ... }
}

// ✅ Good - evaluate once, use everywhere in the request
const featureEnabled = flags.isEnabled("feature", userId);
for (const item of items) {
  if (featureEnabled) { ... }
}

Production SDKs like LaunchDarkly and Unleash handle this by downloading the full ruleset locally, so evaluations are in-memory lookups - zero network latency.

Self-Hosted vs. SaaS

	Self-Hosted (Unleash, GrowthBook, Flagsmith)	SaaS (LaunchDarkly, Split.io)
Cost	Free (+ your infra cost)	Paid plans (can be expensive)
Data control	Full - data never leaves your infra	Requires data processing agreements
Reliability	You own uptime	Provider's SLA
Features	Solid for most use cases	Best-in-class analytics & targeting

Recommendation:

Startups / small teams → Unleash or GrowthBook (open source, easy to self-host)
Growth-stage / enterprise → LaunchDarkly if budget allows; worth it for the reliability and analytics

10. Conclusion

Feature flags are one of the most practical tools in modern software engineering. They solve a real problem - the coupling of code deployment and feature release - and unlock capabilities that make teams faster, systems more stable, and incidents less painful.

Here's what to take away:

Feature flags decouple deployment from release. Ship code any time. Release features when you're ready.
There are five main types: Release, Experiment, Ops/Kill Switch, Permission, and Configuration - each serving a different purpose with a different lifespan.
The core implementation is simple: a hash function assigns users to stable buckets; flag configuration controls who's in which bucket.
Real-world value comes from canary releases: roll out gradually, monitor metrics, and revert instantly if something goes wrong.
The biggest pitfall is stale flags. Treat flag cleanup as real engineering work. Always set expiry dates and owners.
Instrument everything. A flag without metrics is a guess. A flag with metrics is a decision.

Start small - add a single flag to your next deployment. Once you see how it changes your relationship with production risk, you'll wonder how you shipped without them.

Thanks for Reading! 🚀

Questions? Thoughts? Something unclear? Or have a topic you'd like me to explore next? I’d love to hear from you in comment section below! 🔥👇

If you enjoyed this article, Like, Share, & Follow for more practical engineering insights from King Technologies

Read Recommendation: just is my go to command now ⚡

💬 Want to learn, build, and grow with a community of developers?
Join the King Technologies Discord — where code meets community! 🚀

🌍 AI OS — The Operating System

Rohit Jain — Wed, 22 Oct 2025 02:17:08 +0000

Just a idea but can it be a reality? A global, open-source OS that unites people to solve human problems — together.

Overview

A peice of tchnology that ensures every human being has access to life’s most essential needs:

Food. Water. Shelter. Education. Healthcare.

When people are free from survival stress, they can create, explore, and build a world worth living in.

AI OS is open-source and community-driven — built by developers, thinkers, and dreamers who believe technology should serve humanity first.

🌐 Vision

“The goal of technology isn’t progress — it’s peace.”

Vision is simple yet profound:

A world where everyone has access to basic needs — enabling humans to focus on what makes them human:

Learning. Creating. Loving. Exploring. Innovating.

👥 How Everyone Can Contribute

Identify and share real-world problems
Suggest or design solutions collaboratively
Offer time, skills, or ideas
Participate in open discussions and feedback cycles

💻 Developers’ Role

Developers are the backbone of AI OS.

You can:

Contribute to the codebase
Design open APIs for problem-solving and resource coordination
Build AI modules that connect global data ethically
Create decentralized, privacy-first tools

👉 Creating a GitHub Repo to see what other thinks about it: AIOS

💰 Funding and Sustainability

AI OS will be supported through:

Donations
Crowdfunding
Government & NGO grants
Ethical corporate partnerships
Volunteer efforts

The core principle: No profit from people — only progress for people.

🧠 Example Scenario

You’re on a train.

A baby is crying, parents are stressed, and passengers feel uncomfortable.

People log this as a “problem.” AI OS aggregates the feedback, identifies a pattern, and suggests potential solutions.

💡 Example Solution:

“Add a family compartment in trains for parents traveling with infants.”

The community votes, validates, and forwards it to relevant authorities or contributors.

This same model applies globally:

A farmer seeking irrigation tools
A student needing mentorship
A city tackling waste management
A community organizing local food sharing

AI OS transforms human pain points into collective data, empowering communities to co-create real solutions.

🧭 Intelligent Resource Allocation

AI OS treats:

Problems as demand
Skills & solutions as supply

It visualizes data through charts and insight graphs — ensuring resources reach the right place at the right time.

This builds a self-sustaining balance between production, consumption, and human welfare.

🧩 Future of Human-OS Interaction

AI OS eliminates app chaos.

Instead of installing dozens of apps, users will speak directly to the OS:

“Find me eco-friendly clothes.”

“Start a chat with Alex.”

“Show me nearby volunteer opportunities.”

AI OS fetches results across the web and presents unified, privacy-respecting responses.

No separate apps
No fragmented websites

Everything is integrated — secure, fast, and personalized.

🔐 Privacy and Control

Users fully own their data.

They decide whether information stays:

Private (end-to-end encrypted)
Public (community-visible)

Transparency and privacy are core principles, not add-ons.

🗣️ Communication & Voice

AI OS will be voice-first — natural, intuitive, and context-aware.

Typing remains optional.

One unified interface replaces fragmented communication tools (Slack, Gmail, Telegram, etc.),

intelligently organizing messages based on relationships and context.

💞 Impact Beyond Technology

If we achieve this, we’ll witness:

Lower crime rates
Peaceful communities
Efficient use of global resources
Collaborative innovation focused on long-term progress

People will build not for profit — but for purpose and permanence.

Roads, bridges, and systems that endure generations.

✨ Conclusion

AI OS is more than software — To build a compassionate, intelligent, and fair world.

A system that connects human potential with real-world needs.

Developed by the world, for the world. 🌍

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What's new in Flutter 3.3

Rohit Jain — Wed, 31 Aug 2022 04:53:54 +0000

Super Excited to share that it's here, Flutter 3.3 Other than 5500+ Merged Pull Requests, this release brings super performance updates to Flutter Web, Desktop includes text and performance related to being specific and a lot more. Super cool ones are listed below.

We knew it, More `Material You` Support

No it's not dynamic theming, we need to wait a bit more for that, but there is a lot now as well, Flutter Updated the IconButton, Chips and large and medium variants for AppBar.
You need to add the useMaterial3: true flag in theme data.
New TextTheme as instead of headline1, headline2, headline3, ... now we have headlineLarge, headlineMedium, headlineSmall, titleLarge and many more, try out these today using Theme.of(context).textTheme.titleLarge
Bottom Bar, Drawer, Time & Date Pickers, and Banners are under development

Impeller

The impeller is a new rendering runtime for Flutter. It is our solution to Flutter's early-onset jank issue. Impeller precompiled a smaller, simpler set of shaders at Engine build time so that they will not be compiled while an app is running.

Overall, Impeller has the following objectives:

Predictable Performance: All shader compilation and reflection are performed offline at build time. All pipeline state objects are built upfront. Caching is explicit and under the control of the engine.
Instrumentally: All graphics resources (textures, buffers, pipeline state objects, etc..) are tagged and labeled. Animations can be captured and persisted to disk without affecting per-frame rendering performance.
Portable: Not tied to a specific client rendering API. Shaders are authored once and converted to backend-specific formats as necessary.
Uses Modern Graphics APIs Effectively: Makes heavy use of (but doesn’t depend on) features available in Modern APIs like Metal and Vulkan.
Makes Effective Use of Concurrency: Can distribute single-frame workloads across multiple threads if necessary.

The impeller is currently available for preview on iOS on the master channel;

For using it you can use flutter run --enable-impeller
or In iOS, you can add it to the info.plist file as

<key>FLTEnableImpeller</key>
<true/>

or In Android, yeah you guessed it add it to the AndroidManifest.xml file as

<!-- Under Application Tag -->
<meta-data
    android:name="io.flutter.embedding.android.EnableImpeller"
    android:value="true" />

Text Selection

Text Selection was not as it should be in flutter web but now with the SelectionArea widget, this is very easy. Wrap any widget with SelectionArea and that's it. It will show you the selection cursor on the web and the text will be easily selected. Example

Improved Trackpad Inputs

Previously when working with the trackpad and dragging together, sometimes it was not performing as expected but now it will also work smoothly as now flutter will deliver the scrolling gestures that are only recognized by scroll view whereas previously it was a general event.

Scribble Support

With more Pencil devices Flutter is extending support for Scribble handwriting inputs and more sprinklers on top of this, it is enabled by default in Text and Editable Fields.

Windows Support

Support for Auto-Updating whenever we push the application, so users can have the latest features, we need to make a couple of tweaks in pubspec.YAML file and build arguments and that's it, Sharing windows applications will be a piece of cake.

Go_router Package

Go Router package makes it easy to navigate and handle deep links. All our Web Issues of Back Buttons and redirects will be resolved, this package is maintained by the Flutter team so relying on it is a good idea. Example

VS Code Extension

Now we can add multiple Packages together separated by a comma in Dart: Add Dependency.

Raster Cache Improvements

ImageProvider now has a method called loadBuffer that functions similarly to load, except that it decodes from an ui.ImmutableBuffer.
ui.ImmutableBuffer can now be created directly from an asset key.
The AssetBundle classes can now load an ui.ImmutableBuffer.
The PaintingBinding now has a method called instantiateImageCodecFromBuffer, which functions similarly to instantiateImageCodec.
ImageProvider.load is now deprecated, it will be removed in a future release.
PaintingBinding.instantiateImageCodec is now deprecated, it will be removed in a future release.

Primary Scroll Controller

The PrimaryScrollController API has been updated to no longer automatically attach to vertical ScrollViews on desktop platforms.

Error Handling

Handling errors is super easy now, manually doing it or using custom zones, because it slows down application start-up. Example

Without Devtools there is no Flutter Upgrade, DevTools has many updates under the hood

Let me know if you have any questions or queries. I’ll be happy to help you. Like Share, and Follow, if you love what you read. King Technologies

Thanks for Reading

How to Write Tests in Postman - API Testing

Rohit Jain — Wed, 13 Oct 2021 19:38:03 +0000

Writing tests in Postman is a great way to test your API. It is easy as well as necessary for your API Development as it makes sure your API is working as expected. You can check all your API in a couple of clicks. Let's Talk about how to test API in Postman.

First of all, you need to create a collection in Postman. I hope you already know how to create a collection and how to add a request to it.
After that, you need to write tests in the Tests tab.

Tests in postman are based on the Chai Js Assertion Library.
Chaijs is a BDD(Behavior Driven Development)/TDD(Test Driven Development) assertion library for node and the browser that can be delightfully paired with any javascript testing framework.

Let's start with the most basic and very useful test.

Check Response Status

pm.test("Status code is 201",()=>{
    pm.response.to.have.status(200);
    pm.expect(pm.response.code).to.equal(200);
    pm.expect(pm.response.code).to.be.oneOf([201, 200]);
    pm.response.to.be.ok;
});

pm.test is a Postman function that takes the name of the test and a callback function as arguments. Inside the callback function, you can write your assertions.
as you can see in the above example

First: Checking that the status code is 201.
Second: Expecting the response code is equal to 201.
Third: Expecting the response code is one of the following: [201, 200].
Forth: Checking that the response type is Ok.

Checking the Response time

pm.test("Response time is less than 200ms", () => {
    pm.expect(pm.response.responseTime).to.be.below(250);
});

Is Content type is Present? Content type is JSON or not ?

pm.test("Content type is present", () => {
    pm.response.to.have.header("Content-Type");
    pm.expect(pm.response.headers.get("Content-Type")).to.be.equal("application/json");
    pm.response.to.be.json;
});

Checking the Response Type by first storing the response in a variable

pm.test("Test data type of the response", () => {
    const res = pm.response.json();
    pm.expect(res).to.be.an("object");
    pm.expect(res.name).to.be.a("string");
    pm.expect(res.age).to.be.a("number");
    pm.expect(res.hobbies).to.be.an("array");
    pm.expect(res.website).to.be.undefined;
    pm.expect(res.email).to.be.null;
    pm.expect(res).to.be.ok;
});

Response body should be an array and should have at least one element

pm.test("Response body should be an array", () => {
    let res = pm.response.json();
    pm.expect(res).to.be.an("array");
    pm.expect(res).to.have.length.above(0);
});

Checking for the response have a particular key & Include a particular string

pm.test("Response should have a name & id property", () => {
    let res = pm.response.json();
    pm.expect(res[0]).to.have.property("name");
    pm.expect(pm.response.text()).to.include("id");
});

Response body should not return the password

pm.test("Response body should not return password", () => {
    let res = pm.response.json();
    pm.expect(res).to.not.include("password");
    pm.expect(res).to.not.have.property("password");
});

There are all the basic tests you can write in Postman.

Let's check out some helper functions to make your testing easier.

Setting Different types of Variables

let res = pm.response.json();
pm.environment.set("id", res[0]["id"]);
pm.collectionVariables.set("id", res[0].id);
pm.globals.set("id",res[0]["id"]);
console.log(pm.environment.get("id"));

They're different in the types of variable is the scope of the variable. Globals are available to all the tests in all the collections. Collection Variables are available only to the tests in the collection. Environment variables are available to all the tests in the collections if the environment is set.

Checking the Active Environment

pm.test("Check the active environment", () => {
    pm.expect(pm.environment.name).to.eql("Api-Template");
});

Basic schema validation

The database schema is its structure described in a formal language supported by the DBMS. The term "schema" refers to the organization of data as a blueprint of how the database is stored in the database.

var schema = {
    "items": {
        "type": "boolean"
    }
};

var data1 = [true, false];
var data2 = [true, 123];

pm.test("Schema is valid", () => {
    pm.expect(tv4.validate(data1, schema)).to.be.true;
});

Send request inside Test

pm.sendRequest("https://postman-echo.com/get", function (err, response) {
    console.log(response.json());
});

That's Sit for basic to intermediate level of testing of APIs in Postman

Let me know if you have any questions or queries. I’ll be happy to help you

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Windows Package Manager 1.0

Rohit Jain — Sun, 30 May 2021 04:03:06 +0000

WinGet - Finally released 1.0

Let's talk about package manager a bit for those who don't know what it is. It allows you to type the name of your favorite app that should be in the Windows Giant database of all the programs that people are submitted So, you can download it directly and install it without clicking on anything.

Benefits of a package manager

Check the version of any program or package
Update the Existing Version you already installed
Download and install in just one Command
Automates the process of installing, upgrading, configuring, and removing computer programs
Upgrade all the program at once
Export list of program that you've installed and install them back whenever you required

How to get Winget

If you are running on any current Windows Insider build or you have signed up for the Windows Package Manager Insider group you may already have it.
This will be included in an automatic update on any version of windows that is at least 1809+
You can install it from the Microsoft store App installer, It is included in that

How to use it

Open Terminal or cmd and then use command winget as it will show you the commands you can use
For Searching a program winget search vscode or winget search "Visual studio code" to be specific
for installing a program you can use winget install "Visual Studio Code Insiders"
For Upgrading winget upgrade "Visual Studio Code Insiders" this will update Visual Studio Code Insiders
For upgrading all programs winget upgrade --all
For installing a specific version of the program you can provide the version number as winget install python -v 3.8.0 it will take -v option for that
For making some changes in settings you can use winget settings

This will also identify your previously install program so you can also upgrade them as well

For getting a list of upgrades available you can use winget upgrade and it will show you all the upgrades available. There are some bugs as of it now most common one is version mismatch as the developer might truncate the version in the program and submitted the whole version. That will be fixed soon.
For checking all the programs you can use winget list and it will show you the list of programs in Windows Database and also show you the version and available version.
You can also export the list of the program winget export -o D:\list.txt

They are actively changing it to make it more user friendly so you will see a lot of changes very soon

The Winget Client is the main tool you will use to manage packages on your machine.

You can also add your programs or packages by executing winget install wingetcreate to install the Windows Package Manager Manifest Creator. Once the tool has been installed, execute wingetcreate new provide the URL to the installer. Then the tool will download the installer, parse it to determine any of the manifest values available in the installer, and guide you through the process to generate a valid manifest. If you provide your GitHub credentials when prompted, it will even fork the repository, create a new branch, submit a pull request, and provide you the URL to track its progress.

Last but not least, They also released a reference implementation for the REST API source so you can host your private repository. This is a new type of source for the Windows Package Manager. The default source is a “PreIndexed” Package delivered via the Microsoft Store, but now you may add additional REST-based sources if they properly implement the JSON-based REST API schema.

Let me know if you have any questions or queries. I’ll be happy to help you

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How to Create a Virtual Assistant Using Python

Rohit Jain — Wed, 19 May 2021 14:20:23 +0000

Hey Guys Today let's create something interesting, a virtual assistant. A computer is a device that helps everyone to achieve things fast. It does things faster than humans and it did not get bored whenever it performs a repetitive task. We can automate our repetitive tasks using a computer so tasks can perform fast and we just need to convey to a computer either by giving a voice command or by typing the command.

First, we need to think about the task that we want the assistant to perform and how it can automate it like greet us, whenever we want to execute something, tell us the date, time, news, weather, jokes, send emails, send messages, open something in a computer, tell us internal information about computers like cup usage and much more. We can make Functions or write simple codes to make it work.

For making these tasks in python we need to install a couple of packages. You can use the below commands for that.

Open terminal with administration privileges execute these commands either one by one or write the package name together.

pip install SpeechRecognition # for Voice commands
pip install clipboard # For working with clipboard
pip install newsapi # For Getting news
pip install newsapi-python # For News api
pip install psutil # For getting compute info
pip install pyaudio # For working with audio
pip install pyautogui # For performing some GUI operation
pip install pyttsx3 # For Voice Interaction

You can use other packages as well and different functionalities with these. Let's jump into the coding

Initially, we need to import the packages as in every Python Program

import clipboard
import datetime
import os
import psutil
import pyautogui
import pyjokes
import pyttsx3
import pywhatkit
import requests
import smtplib
import speech_recognition as sr
import time as ti
import webbrowser as we
from email.message import EmailMessage
from newsapi import NewsApiClient
from secrets import senderemail, password
from time import sleep

Now I would like to set the variables for user name and assistant name so it can be changed easily if we want.

user = "Rohit"
assistant= "Jarvis" # Iron man Fan

Then forgetting voice output we need to use pyttsx3

Initialize Pyttsx3 Engine

engine = pyttsx3.init()
voices = engine.getProperty("voices")

# For Mail voice AKA Jarvis
engine.setProperty("voice", voices[0].id)

# For Female voice AKA Friday
# engine.setProperty("voice", voices[1].id)

These are the voices of Microsoft David (Male) and Microsoft Zira (Female) Voice for the windows narrator program. You can install other voices as well but I find that a bit laggy and everything is not covered in them.

Input/Output Functions

def output(audio):
    # print(audio) # For printing out the output
    engine.say(audio)
    engine.runAndWait()

# For getting the device index you can execute this code So if you want to change the device you can do that.
# for index, name in enumerate(sr.Microphone.list_microphone_names()):
#     print("Microphone with name \"{1}\" found for `Microphone(device_index={0})`".format(
#         index, name))

def inputCommand():
    # query = input() # For getting input from CLI
    r = sr.Recognizer()
    query = ""
    with sr.Microphone(device_index=2) as source:
        print("Listening...")
        r.pause_threshold = 1
        try:
            query = r.recognize_google(r.listen(source), language="en-IN")
        except Exception as e:
            output("Say that again Please...")
    return query

Up to this, we are just setting the things for an assistant. Now we will make functions for our tasks

Greet Function

def greet():
    hour = datetime.datetime.now().hour
    if (hour >= 6) and (hour < 12):
        output(f"Good Morning {user}")
    elif (hour >= 12) and (hour < 18):
        output(f"Good afternoon {user}")
    elif (hour >= 18) and (hour < 21):
        output(f"Good Evening {user}")
    output("How may I assist you?")

Email Function

# You can also use a secret file and store these variables there as I am doing or If you not going to show this code to anyone that you can it here as well.
def sendEmail():
    senderemail = "kingtechnologies2017@gmail.com"
    password = "********"
    email_list = {
        "test1": "bojole7513@httptuan.com", # Temporary Email
        "test2": "<Your Friends, family or business email here>"
    }
    try:
        email = EmailMessage()
        output("To whom you want to send the mail?")
        name = inputCommand().lower()
        email['To'] = email_list[name]
        output("What is the subject of the mail?")
        email["Subject"] = inputCommand()
        email['From'] = senderemail
        output("What should i Say?")
        email.set_content(inputCommand())
        s = smtplib.SMTP("smtp.gmail.com", 587)
        s.starttls()
        s.login(senderemail, password)
        s.send_message(email)
        s.close()
        output("Email has sent")
    except Exception as e:
        print(e)
        output("Unable to send the Email")

Send Whatsapp Message Function

It is utilizing the web browser package

def sendWhatMsg():
    user_name = {
        'Jarvis': '+91 95299 16394'
    }
    try:
        output("To whom you want to send the message?")
        name = inputCommand()
        output("What is the message")
        we.open("https://web.whatsapp.com/send?phone=" +
                user_name[name]+'&text='+inputCommand())
        sleep(6)
        pyautogui.press('enter')
        output("Message sent")
    except Exception as e:
        print(e)
        output("Unable to send the Message")

Weather Function

For Weather, we can use OpenWeatherMap API

def weather():
    city = "jaipur"
    res = requests.get(
        f"http://api.openweathermap.org/data/2.5/weather?q={city}&appid=16f0afad2fd9e18b7aee9582e8ce650b&units=metric").json()
    temp1 = res["weather"][0]["description"]
    temp2 = res["main"]["temp"]
    output(
        f"Temperature is {format(temp2)} degree Celsius \nWeather is {format(temp1)}")

News Function

For News, we can use the News API package

def news():
    newsapi = NewsApiClient(api_key='5840b303fbf949c9985f0e1016fc1155')
    output("What topic you need the news about")
    topic = inputCommand()
    data = newsapi.get_top_headlines(
        q=topic, language="en", page_size=5)
    newsData = data["articles"]
    for y in newsData:
        output(y["description"])

Idea Function

We can use file handling for that it's quite reliable storage but we need to implement it carefully

def idea():
    output("What is your idea?")
    data = inputCommand().title()
    output("You Said me to remember this idea: " + data)
    with open("data.txt", "a", encoding="utf-8") as r:
        print(data, file=r)

Now the last part i.e. Function calling based on Command and some inline execution

First of all the greet function

greet()
# Then with while true we can make it a infinite loop on command
while True:
    # Getting input from the user
    query = inputCommand().lower()
    # According to the query if query have respective word we will execute the respective command
    if ("time" in query):
        output("Current time is " +
               datetime.datetime.now().strftime("%I:%M"))

    elif ('date' in query):
        output("Current date is " + str(datetime.datetime.now().day)
               + " " + str(datetime.datetime.now().month)
               + " " + str(datetime.datetime.now().year))

    elif ('email' in query):
        sendEmail()

    elif ('message' in query):
        print("Sending...")
        sendWhatMsg()

    elif ("search" in query):
        output("what you want to search?")
        we.open("https://www.google.com/search?q="+inputCommand())

    elif ("youtube" in query):
        output("What you want to search on Youtube?")
        pywhatkit.playonyt(inputCommand())

    elif ('weather' in query):
        weather()

    elif ("news" in query):
        news()

    elif ("read" in query):
        output(clipboard.paste())

    elif ("covid" in query):
        r = requests.get(
            'https://coronavirus-19-api.herokuapp.com/all').json()
        output(
            f'Confirmed Cases: {r["cases"]} \nDeaths: {r["deaths"]} \nRecovered {r["recovered"]}')

    elif ("workspace" in query):
        output("Which workspace you want to work on")
        os.startfile("D:\\Work Spaces\\" +
                     inputCommand()+".code-workspace")

    elif ("joke" in query):
        output(pyjokes.get_joke())

    elif ("idea" in query):
        idea()

    elif ("do you know" in query):
        ideas = open("data.txt", "r")
        output(f"You said me to remember these ideas:\n{ideas.read()}")

    elif ("screenshot" in query):
        pyautogui.screenshot(str(ti.time()) + ".png").show()

    elif "cpu" in query:
        output(f"Cpu is at {str(psutil.cpu_percent())}")

    elif "offline" in query:
        hour = datetime.datetime.now().hour
        if (hour >= 21) and (hour < 6):
            output(f"Good Night {user}! Have a nice Sleep")
        else:
            output(f"By {user}")
        quit()

Based on different input we are executing different task is this way our assistant can have so much functionality we can utilize
This is all For this blog, as I mentioned earlier you can customize it according to you and you can check out the GitHub repo for complete code

Let me know if you have any questions or queries. I’ll be happy to help you.

Like share, and follow. You can also check my other profiles on King Technologies

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How to Write Stunning Github README.md [Template Provided]

Rohit Jain — Mon, 26 Apr 2021 09:36:42 +0000

If you are here that means you want to create a stunning README.md for your Awesome Repos, So down below I'm going to show you some cool markdown tips (.md means markdown) Markdown is a lightweight markup language for creating formatted text using a plain-text editor.

Good Documentation is as much important as your project, because if you can't explain what your project does, how other can utilize it, then there is no mean of developing awesome projects.

First let's go through the importance of a README.md file

A README.md file is a guide that gives visitors a detailed description of your project. There is a lot of developers that developed awesome application but if you represent your project well than your project will have great impact, it will gain more.
If someone visits your project repo then this is the file that will represent your project. So you should put some effort to make your README.md look good.
You don't need to make always a new README.md. Just create a template and use that for all the projects.

When you write a README.md file always keep in mind that this is for others not for you.

Now have a look at my project and share your thoughts with me, what you think about the repo it is looking good or not? Can you use this project without any help just by reading README.md?

You can also create simple and stunning README.md in very simple steps.

So, let's start creating your README.md

One more thing you need to know there is no right or wrong way of Creating README.md, Every Developer has their way of writing the README.md file. I'll explain to you each and everything you can do to create your own.

Github uses its markdown known as GFM (Github Flavour markdown). It just extends the functionality of markdown. So, you can use simple HTML tags and their attributes to make it look good. You can use Emojis, links, pictures,

Project title

At the very top, you must include a project title using heading 1, Now heading 1 in markdown is with one # sign but you can also use the h1 tag. For example:
# Project title

or I also like to make it center so,

<h1 align="center">Project title</h1>

we are using, align="center" because we can't use CSS here.

Description

After the title, you must provide a description of the project and it should not be a long paragraph just a simple descriptive line will do the job. This is the line that should be well crafted and straightforward.
It describes the quality of your project because no one will run the project at the moment they visit but they judge the project its description.

# Project Description

or if also like to make it at the center so,

<p align="center">Project Description</p>

Table of Content

Github added this feature already so you don't need to do it. So, Just use headings (#), subheadings(#), or h1,h2 tags and it will automatically have at the top left corner of your README.md file.

Links

Use markdown link as [Link Text](link) of your live project, repo, API, API repo. I am sure you are wondering why you should put repo here but your project is not always be seen on GitHub people also clone it on their system and this file also gets cloned so you must put this link there. So, anyone can visit back the repo.

Include screenshots

Disclaimer: Uploading Image on Github as 'user-images.githubusercontent.com' can't be removed directly, You can try to contact GitHub support to remove it. You can use Images to show your project, how it looks while running. For putting screenshots you can either drag and drop images or use the image in markdown as ![Image Name](Image location)

How to use your software

The most important part after the description is this, You need to provide instruction on how to install your program and how to run it. Make it comprehensive as much as possible So, even a beginner can use it.

Built With

In this section, you can add your tech stack, as which technologies you used to make the project. You can utilize list as

- JavaScript
- Node
- NPM
- Webpack
- HTML
- CSS

Future updates

Here you can use a Special GFM Feature called a task list. A task list will show which things are done and which are pending. You can utilize a task list as

- [ ] Reliable Storage // This is pending
- [x] Authentication // This is done

Author

Here you can show your details like email, profile, website, any other social media links so others can follow you.
This can be some simple markdown links as

**Rohit Jain**

- [Profile](https://github.com/rohit19060 "Rohit jain")
- [Email](mailto:rohitjain19060@gmail.com?subject=Hi% "Hi!")
- [Website](https://kingtechnologies.dev "Welcome")

Contribution

If someone puts effort to do something into your project then you should give him/her credit for it and this is the section for that here you can use images and links of your project contributors.

Support

At last, you can ask for support or sponsorships by providing links or just add a simple message as

Contributions, issues, and feature requests are welcome!
Give a ⭐️ if you like this project!

Template

As I mentioned above you can use the following template as your template after making necessary changes.

<h1 align="center"><project-name></h1>

<p align="center"><project-description></p>

## Links

- [Repo](https://github.com/Rohit19060/<project-name> "<project-name> Repo")

- [Live](<Homepage url> "Live View")

- [Bugs](https://github.com/Rohit19060/<project-name>/issues "Issues Page")

- [API](<API Link> "API")

## Screenshots

![Home Page](/screenshots/1.png "Home Page")

![](/screenshots/2.png)

![](/screenshots/3.png)

## Available Commands

In the project directory, you can run:

### `npm start" : "react-scripts start"`,

The app is built using `create-react-app` so this command Runs the app in Development mode. Open [http://localhost:3000](http://localhost:3000) to view it in the browser. You also need to run the server file as well to completely run the app. The page will reload if you make edits.
You will also see any lint errors in the console.

### `"npm run build": "react-scripts build"`,

Builds the app for production to the `build` folder. It correctly bundles React in production mode and optimizes the build for the best performance. The build is minified and the filenames include the hashes. Your app will be ready to deploy!

### `"npm run test": "react-scripts test"`,

Launches the test runner in the interactive watch mode.

### `"npm run dev": "concurrently "nodemon server" "npm run start"`,

For running the server and app together I am using concurrently this helps a lot in the MERN application as it runs both the server (client and server) concurrently. So you can work on them both together.

### `"serve": "node server"`

For running the server file on you can use this command.

### `npm run serve`

## Built With

- JavaScript
- Node
- NPM
- Webpack
- HTML
- CSS

## Future Updates

- [ ] Reliable Storage

## Author

**Rohit Jain**

- [Profile](https://github.com/rohit19060 "Rohit jain")
- [Email](mailto:rohitjain19060@gmail.com?subject=Hi "Hi!")
- [Website](https://kingtechnologies.dev "Welcome")

## 🤝 Support

Contributions, issues, and feature requests are welcome!

Give a ⭐️ if you like this project!

Markdown features

You can also you text styling as

- **Bold**
- _italics_
- ~~Strike through~~

Their combination also works like **_Bold Italics_**

Blockquote

> This is a Blockquote

Lists

- Candy
- Gum
- Booze

1.  Red
2.  Green
3.  Blue

- [x] Finish my changes
- [ ] Push my commits to GitHub
- [ ] Open a pull request

Link

Inline-style link: example link.
Optionally, you may include a title attribute in the parentheses:example link. The title is a text that shows when you hover on an element.

Images

GFM feature

if you put a link inside arrows like <rohitjain19060@gmail.com> Github automatically make it a link.

Table

| Left-aligned | Center-aligned | Right-aligned |
| :----------- | :------------: | ------------: |
| git status   |   git status   |    git status |
| git diff     |    git diff    |      git diff |

A hidden trick I give sometimes

You can use variables in markdown or references as

![alt text][id]
[id]: /path/to/img.jpg "Title"

This is all you can do in the README.md file to make it stunning and stand out from others. Comment down below your favorite part or your README styles

Let me know if you have any questions or queries. I’ll be happy to help you

Like share, and follow. You can also check my other profiles on King Technologies

Thanks for reading

💬 Want to learn, build, and grow with a community of developers?
Join the King Technologies Discord — where code meets community! 🚀

DEV Community: Rohit Jain

Vitest: Modern Test-Driven Development Made Easy

What is Vitest?

Understanding Test-Driven Development (TDD)

1. Red: Write a Failing Test

2. Green: Write Minimal Code

3. Refactor: Improve the Code

Getting Started with Vitest

Configuration

Why Vitest Excels for TDD

1. Blazing Fast Test Execution

2. Watch Mode for Continuous Testing

3. Familiar API (Jest Compatible)

4. Built-in Mocking and Spying

5. Snapshot Testing

Practical Vitest Tips

TDD Example with Vitest: The multiply Function

Step 1: Write a Failing Test (math.test.js)

Step 2: Implement the Function (math.js)

Step 3: Refactor if Needed

Vitest in the AI Development Era

When Should You Use Vitest?

Final Thoughts

Thanks for Reading! 🚀

Feature Flags: The Release Superpower You're Missing

1. Introduction

2. The Problem Feature Flags Solve

Traditional deployments: coupling code and features

The modern alternative

3. What Are Feature Flags?

4. How Feature Flags Work

Step 1: Flag configuration is defined

Step 2: Application loads flag configuration

Step 3: Feature flag is evaluated at runtime

Step 4: User gets the appropriate experience

Step 5: Metrics are tracked

5. Types of Feature Flags

1. Release Flags

2. Experiment Flags (A/B Testing)

3. Ops Flags (Kill Switches)

4. Permission Flags (Entitlement Flags)

5. Configuration Flags

Summary

6. Simple Implementation

Step 1: Define your flags in a config

Step 2: Build the flag evaluation service

Step 3: Use it in your application

7. Real-World Example: Safe Deployment at Scale

The old way (no flags)

The new way (with flags)

8. Benefits of Feature Flags

Safer Deployments

Faster Experimentation

Better Control Over Features

Continuous Delivery

Instant Incident Response

9. Best Practices

Manage the Flag Lifecycle

Avoid Technical Debt from Stale Flags

Monitor Feature Usage

Cache Flag Evaluations

Self-Hosted vs. SaaS

10. Conclusion

Thanks for Reading! 🚀

🌍 AI OS — The Operating System

Overview

🌐 Vision

👥 How Everyone Can Contribute

💻 Developers’ Role

💰 Funding and Sustainability

🧠 Example Scenario

🧭 Intelligent Resource Allocation

🧩 Future of Human-OS Interaction

🔐 Privacy and Control

🗣️ Communication & Voice

💞 Impact Beyond Technology

✨ Conclusion

What's new in Flutter 3.3

We knew it, More Material You Support

Impeller

TDD Example with Vitest: The `multiply` Function

Step 1: Write a Failing Test (`math.test.js`)

Step 2: Implement the Function (`math.js`)

We knew it, More `Material You` Support