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.
git clone https://github.com/alchemiststudiosDOTai/tunacode.gitTunaCode is a terminal-based AI coding agent that automates coding tasks through a NeXTSTEP-inspired interface. It supports any OpenAI-compatible API, including Claude and OpenAI models, enabling developers to leverage multiple language models for enhanced productivity. The tool provides file operations with hash-validated editing, shell command execution, natural-language repository discovery, and session persistence to resume previous conversations. TunaCode integrates seamlessly with git workflows and includes a themeable UI with syntax highlighting, making it suitable for developers who want to automate repetitive coding tasks within their terminal environment.
["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"]
Automate code generation and file editing with hash-validated line references
Search and explore repositories using natural-language queries with the discover tool
Execute bash commands and capture output within an agentic coding workflow
Resume previous coding sessions to continue work across multiple interactions
No install command available. Check the GitHub repository for manual installation instructions.
git clone https://github.com/alchemiststudiosDOTai/tunacodeCopy the install command above and run it in your terminal.
Launch Claude Code, Cursor, or your preferred AI coding agent.
Use the prompt template or examples below to test the skill.
Adapt the skill to your specific use case and workflow.
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.'
```
🐟 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
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