- Vibe Coding - Home
- Vibe Coding - Overview
- Vibe Coding - Process
- Vibe Coding vs Traditional Programming
- Vibe Coding - Effective Prompts
- Vibe Coding - Product Requirement and Design
- Vibe Coding - Vibe Coding Tools
- Vibe Coding - Google AI Studio
- Vibe Coding - Firebase Studio
- Vibe Coding - Gemini Code Assist
- Vibe Coding - Claude AI
- Vibe Coding - Copilot
- Vibe Coding - Replit
- Vibe Coding - Pitfalls and Solutions
- Vibe Coding - Creating a Sample Project
Vibe Coding Useful Resources
Vibe Coding - Claude AI
Claude AI is an advanced AI coding assistant built by Anthropic. Powered by models like Claude Sonnet and Claude Opus, it can read, write, and edit code across multiple files, execute bash commands, handle git workflows, and use a Plan Mode to break down complex tasks before implementation. Claude is available through CLI, IDE extensions, web interface, desktop app, and API.
Key Features
- Multi-File Code Generation − Create, edit, and refactor code across entire projects, not just single files.
- Plan Mode − Claude analyzes the task and creates a structured blueprint before writing code, improving quality for complex features.
- Terminal Command Execution − Run bash commands, install packages, start servers, and manage processes directly.
- Git Workflow − Stage, commit, push, create branches, and write commit messages automatically.
- @ Mentions − Reference specific files or folders with
@filenameto give Claude precise context. - Code Review − Analyze code for bugs, security issues, performance problems, and suggest improvements.
- 200K Context Window − Handle large codebases and long conversations without losing context.
- Agentic Coding − Claude Code can autonomously read files, make edits, run tests, and iterate until the task is complete.
Pricing / Plans
| Plan | Price | Includes |
|---|---|---|
| Free | $0/month | Claude.ai web/desktop access, limited messages per day, Sonnet model |
| Pro | $20/month | 5x more usage, Opus and Sonnet models, priority access, Claude Code included |
| Team | $25/user/month | Everything in Pro + team workspace, admin controls, higher limits |
| Enterprise | Custom pricing | SSO/SAML, audit logs, dedicated support, custom usage limits |
| API (Pay-as-you-go) | Usage-based | Sonnet: $3/$15 per 1M tokens (in/out), Opus: $15/$75 per 1M tokens (in/out) |
The free tier is sufficient for light usage. Pro plan unlocks Claude Code (CLI agent) and the most capable Opus model.
Installation / Setup
Claude Code (CLI) − Recommended for Vibe Coding
Step 1: Ensure Node.js 18+ is installed on your system.
node --version # Should be v18 or higher
Step 2: Install Claude Code globally via npm ?
npm install -g @anthropic-ai/claude-code
Step 3: Navigate to your project directory and launch Claude Code ?
cd /path/to/your/project claude
Step 4: Authenticate with your Anthropic account when prompted. Claude Code reads your project files and is ready to work.
VS Code Extension
Step 1: Open VS Code, go to Extensions (Ctrl+Shift+X).
Step 2: Search for "Claude" and install the official extension by Anthropic.
Step 3: Sign in with your Anthropic account. The Claude panel appears in the sidebar.
Web / Desktop
Visit claude.ai for the web interface, or download the desktop app from the same site for Windows, macOS, or Linux.
Interface Overview
Claude Code (Terminal)
- Interactive prompt − Type natural language commands directly in the terminal.
- File diffs − Shows proposed changes as diffs before applying them.
- Auto-accept mode − Use
claude --auto-acceptfor fully autonomous operation.
Claude.ai (Web/Desktop)
- Chat Panel − Main conversation area for prompts and responses.
- Artifacts Panel − Side panel showing generated code, documents, or previews.
- File Upload − Drag and drop files for Claude to analyze.
- Project Contexts − Create project-specific contexts with custom instructions.
Getting Started
Let's build a simple REST API using Claude Code from start to finish −
Step 1: Initialize Project
mkdir my-api && cd my-api claude
Step 2: Describe What You Want
Create a Node.js Express REST API with the following endpoints: - GET /tasks - list all tasks - POST /tasks - create a task (title, description, status) - PUT /tasks/:id - update a task - DELETE /tasks/:id - delete a task Use an in-memory array for storage. Add input validation and error handling.
Claude creates the project structure, writes package.json, server.js, route files, and installs dependencies automatically.
Step 3: Test and Iterate
Run the server and test the POST /tasks endpoint with sample data.
Claude starts the server, runs a curl command to test, and shows the response.
Step 4: Add Features
Add a SQLite database instead of in-memory storage. Add pagination to GET /tasks with query params ?page=1&limit=10. Add unit tests using Jest.
Step 5: Commit and Push
Initialize a git repo, commit all files with a meaningful message, and push to my GitHub repo.
Effective Prompts
| Purpose | Prompt Example |
|---|---|
| Plan First | Plan how to add user authentication with JWT to this Express API. Don't write code yet, just outline the approach. |
| Multi-File Feature | Add a React frontend in /client that displays tasks from the API. Include create, edit, and delete functionality. |
| Debug with Error | I'm getting this error: "TypeError: Cannot read property 'id' of undefined" on line 42 of routes/tasks.js. Fix it. |
| Code Review | Review @server.js for security issues, performance problems, and suggest improvements. |
| Generate Tests | Write comprehensive Jest tests for all endpoints in @routes/tasks.js including edge cases and error scenarios. |
| Refactor | Refactor the database queries in @models/ to use a repository pattern. Keep the same public API. |
Integration with Other Tools
Git Workflow
Claude Code handles git natively −
Create a new branch "feature/auth", implement JWT authentication, commit with a descriptive message, and push to origin.
CI/CD with GitHub Actions
Create a GitHub Actions workflow that runs tests on every push to main and deploys to Vercel on successful merge.
MCP Servers (Tool Integration)
Claude Code supports Model Context Protocol (MCP) servers for connecting to external tools −
// .claude/settings.json
{
"mcpServers": {
"github": {
"command": "npx",
"args": ["@anthropic-ai/mcp-server-github"]
},
"postgres": {
"command": "npx",
"args": ["@anthropic-ai/mcp-server-postgres", "postgresql://localhost/mydb"]
}
}
}
MCP servers let Claude interact with GitHub PRs, databases, Slack, and other services directly from the terminal.
Strengths and Limitations
| Strengths | Limitations |
|---|---|
| Autonomous multi-file editing (Claude Code) | Pro plan ($20/mo) needed for Claude Code |
| 200K context window for large codebases | Cannot access live URLs or external APIs directly |
| Plan Mode for structured task breakdown | CLI-based (no GUI for Claude Code) |
| Native git, bash, and test execution | Rate limits on free and Pro plans |
| MCP server ecosystem for tool integration | Newer ecosystem than GitHub Copilot |
Best Practices
- Use Plan Mode first − For complex features, ask Claude to plan before coding. This catches architectural issues early.
- Work incrementally − Ask for one feature at a time. Review the diff, accept, then move to the next.
- Commit after each feature − Use Claude's git integration to commit frequently so you can roll back if needed.
- Start fresh contexts − After completing a feature, start a new conversation to avoid context pollution.
- Use @ mentions − Reference specific files with
@filenameto give Claude precise context instead of describing file contents. - Paste errors directly − Copy-paste full error messages and stack traces for accurate debugging.
Conclusion
Claude AI offers a complete vibe coding experience through Claude Code (CLI agent), VS Code extension, and web/desktop interfaces. Claude Code's autonomous multi-file editing, Plan Mode, and MCP server integration make it particularly powerful for complex projects. Start with the free tier for web-based usage, or upgrade to Pro for CLI-based agentic coding with Opus model access.