01
Context
Modern development increasingly leverages AI assistance, but most tools stop at code generation. RepoSmith pushes the boundary by handling the entire repo lifecycle—from idea to published, tested, and documented GitHub repository—with autonomous iteration.
02
What I Built
An autonomous CLI built with Python and Typer that converts a natural-language idea into a fully published GitHub repo. The system implements a self-healing loop that iterates through build, test, lint, dev boot, and quick start checks until all pass, with full run logging for auditability and replay.
03
Key Decisions
1Built self-healing loop that iterates until build, tests, lint, dev boot, and quick start checks are green
2Designed eval harness with versioned benchmark suites for tracking agent reliability
3Implemented sandboxed verification running checks in Docker for safe automated changes
4Used isolated git branches with re-verification before accepting patches for reproducibility
04
Challenges
→Ensuring agent reliability across diverse project types and requirements
→Designing a robust self-healing loop that avoids infinite loops on edge cases
→Balancing automation with auditability for enterprise use cases
→Managing complexity of multi-step verification in isolated environments
05
Outcomes
✓Achieved reliable repo generation from natural-language prompts
✓Built comprehensive eval harness tracking success rate, time-to-green, and fix iterations
✓Implemented safe rollback mechanisms reducing risk from automated changes
✓Created full audit logging enabling replay and debugging of agent runs
06
Tech Stack
PythonTyperNext.jsDockerGitHub CLI