AI Coding Tutorial: Vibe Coding with Copilot, Cursor & Google Antigravity

Introduction: Why Vibe Coding Is Changing How We Build Software

"Vibe coding" is the practice of describing what you want in plain natural language and letting an AI assistant generate, refine, and debug the code while you steer the process. Instead of typing every line, you express intent, review the result, and iterate. It's less about memorizing syntax and more about clear thinking, good judgment, and knowing how to ask.

This tutorial is for two audiences. If you're a beginner, you'll learn how to ship working software faster than traditional tutorials allow. If you're an experienced developer, you'll see how AI-first workflows change the way you structure projects, review code, and maintain quality.

By the end, you'll have built a small full-stack task manager app using three tools: GitHub Copilot, Cursor, and Google Antigravity. We'll move through setup, first prompts, advanced patterns, and productivity systems so you can apply these skills to your own projects immediately.

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Section 1: Vibe Coding Fundamentals — Mental Models Before Tools

1.1 What Vibe Coding Is (and Isn't)

Vibe coding is intent-driven development. You describe a goal, the AI proposes code, and you review and refine it. The key word is review. Vibe coding is not blindly accepting generated code. That path leads to security holes, subtle bugs, and code you can't maintain.

The core workflow is a three-loop cycle:

1. Prompt — describe what you want in clear, specific language.
2. Review — read the generated code line by line.
3. Refine — ask for changes, fixes, or improvements.

Repeat until the code does what you need. The faster you cycle through these three steps, the more productive you become.

1.2 Choosing Your Tool: Copilot vs. Cursor vs. Google Antigravity

Each tool has a distinct personality:

• GitHub Copilot: inline autocomplete and chat inside VS Code, JetBrains, and Neovim. Best for staying in your existing editor and getting fast suggestions as you type.
• Cursor: an AI-native editor with codebase-aware chat, multi-file edits, and an agent mode. Best for feature work that spans several files.
• Google Antigravity: an agent-first IDE where AI plans tasks, browses the web, and executes across the editor, terminal, and browser. Best for autonomous, multi-step tasks.

| Feature | Copilot | Cursor | Antigravity | |---|---|---|---| | Autocomplete strength | Excellent | Very good | Good | | Multi-file editing | Limited | Strong | Strong | | Agent autonomy | Low | Medium-High | High | | Best use case | Inline coding | Feature builds | End-to-end tasks |

1.3 Setting Up Your Environment

Start with the basics:

1. VS Code + Copilot: install VS Code, add the GitHub Copilot extension, and sign in with your GitHub account.
2. Cursor: download Cursor and, on first launch, import your VS Code settings and extensions so nothing feels foreign.
3. Google Antigravity: create an account, open a workspace, and review the agent permission settings so you understand what it can touch.
4. Baseline project: install Node.js and Git, then create a starter repo:

mkdir task-manager && cd task-manager
git init
npm init -y

1.4 Your First Vibe Coding Session (Hello, World+)

Open your editor and try this prompt:

"Create a Node.js script that fetches the current weather for a city from a public API and prints a friendly summary."

Read the generated code line by line. Ask yourself: Does it handle a missing API key? What if the network fails? Then refine:

"Add error handling for invalid city names and network failures."

You've just completed your first Prompt → Review → Refine loop. That's the entire discipline in miniature.

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Section 2: Getting Started with GitHub Copilot

2.1 Inline Suggestions and Comment-Driven Development

Copilot shines when you write intent as comments. Type a comment, press Enter, and watch suggestions appear:

// function to validate email with regex

Copilot will often complete the whole function. Use Tab to accept, Alt+] to cycle through alternatives, and Esc to dismiss. Accept suggestions when they're correct, modify them when they're close, and reject them when they're wrong. Your judgment is the filter.

2.2 Copilot Chat: Explaining, Fixing, and Generating Tests

Open Copilot Chat and use slash commands:

• /explain — walk through unfamiliar code.
• /fix — propose a fix for a bug or error.
• /tests — generate unit tests.
• /doc — add documentation comments.

For example:

/tests generate unit tests for the validateEmail function using Jest

Use @workspace to give Copilot project-wide context, such as @workspace how is authentication handled?

2.3 Practical Example: Building a REST Endpoint

Prompt Copilot Chat:

"Create an Express POST /tasks endpoint with input validation and in-memory storage."

You'll get something like:

app.post('/tasks', (req, res) => {
  const { title } = req.body;
  if (!title || typeof title !== 'string') {
    return res.status(400).json({ error: 'Title is required' });
  }
  const task = { id: Date.now(), title, completed: false };
  tasks.push(task);
  res.status(201).json(task);
});

Review for security: is input sanitized? Are errors leaking internals? Then refine:

"Refactor to use a repository pattern so storage can be swapped later."

2.4 Copilot Limitations and Guardrails

Copilot sometimes hallucinates APIs or suggests outdated library usage. Always verify against official docs. Check license and attribution considerations for suggested code, especially in commercial projects. Most importantly, keep a human review step in your workflow—never merge AI-generated code you haven't read.

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Section 3: Leveling Up with Cursor

3.1 Codebase-Aware Chat and @ References

Cursor understands your whole project. Use @ references to point it at exactly what matters:

"@taskController.ts @taskModel.ts add pagination to the list endpoint"

You can reference files, symbols, documentation, and even web results. Context quality determines output quality—the more precisely you point, the better the result.

3.2 Multi-File Edits with Composer / Agent Mode

Composer (agent mode) handles features that span frontend, backend, and tests. Try:

"Add a 'mark complete' button to the task list UI, wire it to a PATCH endpoint, and update the tests."

Cursor will propose changes across multiple files. Always review the diffs before applying. This is where vibe coding earns its keep—or creates its worst messes.

3.3 Rules, Memory, and Project Conventions

Create a .cursorrules file to enforce conventions:

Always use TypeScript strict mode.
Prefer functional components.
Never use `any`.
Use named exports.

Cursor applies these rules to every generation. Use chat memory to keep long-running context across sessions so you don't re-explain your architecture each time.

3.4 Practical Example: Refactoring a Messy Module

Prompt:

"Refactor this 300-line file into separate modules with clear responsibilities, keeping behavior identical."

Run your existing tests before and after to verify nothing broke. Use Cursor's diff view to audit every change. If tests pass and the diff looks clean, you've refactored safely.

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Section 4: Exploring Google Antigravity

4.1 The Agent-First Paradigm

Antigravity flips the script: instead of you driving every step, the agent plans, executes, and reports back. You give a high-level goal, and it breaks the work into tasks, runs commands, and even browses the web for documentation.

4.2 Planning, Browsing, and Executing Across Surfaces

An Antigravity agent can:

• Open files and edit them in the editor.
• Run terminal commands like npm test or git commit.
• Browse the web to check the latest API docs.

This cross-surface capability makes it powerful for tasks like "set up a CI pipeline" or "migrate this project to ESM."

4.3 Practical Example: End-to-End Feature Delivery

Give the agent a goal:

"Add user authentication with JWT, including signup, login, and protected routes. Write tests and update the README."

Watch it plan, implement, and verify. Your job shifts from writing code to reviewing plans and validating outcomes.

4.4 When to Trust the Agent (and When Not To)

Trust the agent for well-scoped, verifiable tasks with clear success criteria. Be cautious with anything touching production data, secrets, or security-critical logic. Always review the plan before execution and the diff after.

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Section 5: Building the Task Manager App End-to-End

5.1 Project Setup and Architecture

Create a simple structure:

task-manager/
├── server/
│   ├── index.js
│   ├── routes/tasks.js
│   └── repositories/taskRepo.js
└── client/
    └── index.html

Use Copilot for boilerplate, Cursor for the feature build, and Antigravity for the final integration and testing pass.

5.2 Backend with Copilot

Prompt Copilot to scaffold CRUD endpoints for tasks. Review each one for validation and error handling.

5.3 Frontend and Wiring with Cursor

Use Cursor's agent mode:

"Build a simple task list UI in client/index.html that fetches from /tasks, allows adding, completing, and deleting tasks."

Review the diff, then test in the browser.

5.4 Final Polish with Antigravity

Ask Antigravity:

"Add integration tests for all task endpoints and run them. Report any failures."

Let the agent verify your work end-to-end.

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Section 6: Productivity Systems for Vibe Coding

6.1 Prompt Patterns That Work

• Be specific: "Add pagination with a page and limit query param" beats "add pagination."
• Give context: reference files, frameworks, and constraints.
• Iterate in small steps: one change at a time is easier to review.

6.2 Review Checklists and Testing Discipline

Before accepting any AI code, check:

• Does it handle errors and edge cases?
• Are inputs validated and sanitized?
• Do existing tests still pass?
• Is the code readable and maintainable?

6.3 Version Control and Safe Experimentation

Commit often. Use branches for AI-generated experiments so you can discard bad results without losing good work. git diff is your best friend.

6.4 Avoiding Burnout and Over-Reliance

Vibe coding is a tool, not a replacement for understanding. Keep learning fundamentals. Use AI to accelerate, not to avoid thinking. Take breaks, review your own code, and stay curious.

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Conclusion: Your Vibe Coding Journey

You've now seen the full arc: mental models, Copilot for inline work, Cursor for multi-file features, Antigravity for autonomous tasks, and a complete task manager built across all three. The tools will keep evolving, but the core loop stays the same: Prompt → Review → Refine.

Start small. Pick one tool, build something tiny, and practice the loop until it feels natural. Then expand. Vibe coding won't replace good engineering judgment—it amplifies it. Happy building.