MurphySig: Human-readable code provenance signatures
MurphySig is a convention for adding human-readable provenance signatures to code files, recording who made the file (human + model), when, context, confidence, and unresolved issues. It solves the problem of tracking AI-assisted code authorship and intent, making it clear which parts were generated by LLMs and why.
Visit project ↗Entities
Related
AI-powered tool that auto-generates and syncs code documentation from code changes
A tool that automatically generates and updates documentation by analyzing code changes, ensuring docs always match the actual codebase. It uses LLMs to detect discrepancies and rewrite documentation, solving the problem of outdated docs for developers.
Logbook: git history miner that writes CLAUDE.md to prevent LLM rework
Logbook mines local git history to produce a LOGBOOK.md file documenting reverted approaches, skipped tests, silenced warnings, and hotspots. It wires this into CLAUDE.md so that Claude Code reads it in future sessions, reducing the chance of suggesting already-tried or already-finished work. For developers using Claude Code, it solves the problem of LLMs repeating past mistakes or redoing reverted changes.
Git-aware AI debugger that checks out old commits to fix production bugs
A tool that makes AI coding assistants (like Cursor or Claude Code) automatically checkout the git commit corresponding to a production error before debugging, preventing the agent from analyzing current code that has shifted. It solves the problem of AI agents hallucinating fixes because they look at the present state of files while the bug existed in a past commit.
OneMind: per-project LLM memory via a single protocol file in git repos
OneMind is a concept for a protocol file (onemind.md) that, when placed in a git repository, enables per-project LLM memory by storing structured references and context. It aims to give LLMs persistent, project-specific memory without bloating the repo, solving the problem of LLMs lacking long-term context across sessions for developers.
CodeInspectus: open-source security scanner for AI-generated code
CodeInspectus is a fully open-source, local security scanner that checks AI-generated code for vulnerabilities. It covers 32 checks (13 AI-specific + 19 SAST) and 200+ secret/API-key patterns, catching issues like hardcoded secrets in client-side code, exposed API keys, and insecure RLS policies. It helps developers secure projects built with LLM-generated code.
