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cadamsdotcom / CodeLeash

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Full stack framework for high leverage web app dev with Claude Code

18
1
100% credibility
Found Feb 28, 2026 at 17 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

CodeLeash is a full-stack web app starter framework designed for AI-assisted development, enforcing test-driven practices and quality checks through automated guardrails in a single repository.

How It Works

1
📖 Discover CodeLeash

You hear about a helpful kit that lets your AI friend build reliable web apps without going off track.

2
🛠️ Grab the starter kit

Download the ready-made project and run one simple setup command to get everything prepared.

3
🔗 Connect your helpers

Link your AI thinking service and online storage with a few easy steps, so everything talks nicely.

4
🤖 Guide your AI builder

Tell your AI what features to create, and it follows strict rules like writing tests first before code.

5
✅ Watch tests pass safely

See tests fail on purpose, then pass as your AI fixes them, building confidence step by step.

6
🚀 Run your live app

Start your full web app with hot updates, seeing changes appear instantly as you build.

🎉 Celebrate your app

Enjoy a working web app that's reliable, tested, and ready for real use, all built safely with AI.

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AI-Generated Review

What is CodeLeash?

CodeLeash is a Python-based full stack monorepo framework for web apps, pairing FastAPI backend with React/Vite frontend and Supabase database. It leashes Claude Code—the AI coding agent—to enforce predictable development via TDD cycles, pre-commit tests with 10ms unit timeouts, and deterministic quality checks for unused code, architecture layers, and brand colors. Run `./init.sh` for instant setup (deps, Supabase, git hooks), then `npm run dev` for hot-reload servers; production serves static React from uvicorn.

Why is it gaining traction?

Unlike spec-driven AI tools that reroll flaky outputs, CodeLeash uses git hooks, scripts, and linters to force red-green-refactor TDD and block bad commits—making Claude's work verifiable without constant babysitting. Worktree isolation spins parallel envs for multi-feature dev, while learnings files capture agent insights for codebase fixes. Full stack developers get atomic frontend/backend commits and shared types via pydantic2ts, slashing coordination hassles.

Who should use this?

Full stack developers or engineers building production web apps with Claude Code, especially those in full stack development jobs chasing high leverage without regressions. Ideal for full stack web developers tired of AI distractions, or full stack entwickler wanting GitHub-integrated workflows like full commit hash tracking and private repo controls.

Verdict

Grab ideas like TDD guards or quality scripts—it's a 16-star scaffold at 1.0% credibility, with strong docs and tests but early maturity. Not production-ready as-is, but a smart full GitHub tutorial for Claude-powered full stack apps.

(198 words)

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