tunacode

🥈Silver

TunaCode is an AI-powered CLI coding agent that supports safe git branches, rich tools, and multi-LLM integration. It enables developers to automate coding tasks, manage branches securely, and use multiple language models for enhanced productivity. The tool connects to git workflows and integrates with popular LLMs like Claude and OpenAI.

121250Updated Today

Intermediate30min to implementautomation

Saves ~45 min per use

Quick InstallView Source

git clone https://github.com/alchemiststudiosDOTai/tunacode.git

Works with:

Claude

Overview

About This Skill

How to Use

["Install TunaCode CLI: `npm install -g tunacode` or `pip install tunacode`","Navigate to your project directory and authenticate: `tunacode auth --api-key YOUR_API_KEY`","Start a coding session: `tunacode start --task \"[DESCRIBE YOUR TASK]\"`","Monitor progress in terminal or via the web dashboard at `https://tunacode.dev/dashboard`","Review AI-generated changes, test locally, and push to your feature branch when ready"]

Setup & Installation

Quick Install

No install command available. Check the GitHub repository for manual installation instructions.

Alternative Install (Git Clone)

git clone https://github.com/alchemiststudiosDOTai/tunacode

Requirements

Claude Code or compatible AI agent
Works with: Claude

Quick Start Guide

Install the Skill

Copy the install command above and run it in your terminal.

Open Your AI Agent

Launch Claude Code, Cursor, or your preferred AI coding agent.

Try It Out

Use the prompt template or examples below to test the skill.

Customize

Adapt the skill to your specific use case and workflow.

Usage Examples

Prompt Template

Use TunaCode to [ACTION] in the [PROJECT_NAME] repository. [ADDITIONAL_CONTEXT]. For example: 'Use TunaCode to implement a JWT authentication middleware in the backend-api repository. Ensure the code follows the project's existing patterns and includes unit tests for the new endpoint.'

Example Output

```
🐟 TunaCode CLI v1.2.0 | Multi-LLM Mode (Claude 3.5 + GPT-4o)

📁 Repository: backend-api (main branch)
🔧 Task: Implement JWT authentication middleware
✅ Requirements: Follow existing auth patterns, add unit tests

🔄 Step 1: Creating feature branch 'feature/jwt-auth'
   ✓ Branch created and pushed to origin

📝 Step 2: Generating middleware structure
   ✓ Created new file: src/middleware/auth.js
   ✓ Added JWT verification logic
   ✓ Integrated with existing error handling

🧪 Step 3: Writing unit tests
   ✓ Generated test file: tests/middleware/auth.test.js
   ✓ Added 8 test cases covering:
     - Valid token validation
     - Expired token handling
     - Malformed token rejection
     - Role-based access control

🔍 Step 4: Running quality checks
   ✓ ESLint passed (0 errors)
   ✓ Prettier formatting applied
   ✓ Security scan passed (no hardcoded secrets)

📊 Step 5: Multi-LLM review
   - GPT-4o suggested: Adding rate limiting to auth endpoint
   - Claude 3.5 suggested: Caching user roles for performance
   ✓ Implemented both suggestions

🚀 Step 6: Ready for review
   ✓ All changes staged and committed
   ✓ Branch pushed to origin
   🔗 PR URL: https://github.com/acme/backend-api/pull/123

⏱️ Total time: 8 minutes 23 seconds
💡 Tip: Run 'tunacode review' to get AI-powered code review before merging
```