Developer Tools / AI Analytics
A local-first Python tool that audits Git history to quantify rework in AI-generated engineering work, including PR correction rates, churn clusters, superseded work, and line survival.
The page clearly describes a real AI-adjacent developer tool with a specific purpose: measuring how much engineering effort goes into correcting AI-produced work. The README gives concrete outputs, install/run instructions, privacy behavior, scoping flags, and an explanation of the classification logic, which is enough for a useful directory listing.
It’s still hard to tell how accurate the heuristic is on different repo shapes, and the snapshot does not show sample report output, benchmarks, or integration details beyond a GitHub repo token and command-line usage.
Last evaluated 79 days ago. Current rank #385. Down 4 spots in the rankings.
CodeGraph is a local code knowledge graph for AI coding agents like Claude Code, Cursor, Codex, OpenCode, and Hermes Agent. It aims to cut token use, tool calls, and runtime by letting agents query pre-indexed code structure instead of scanning files repeatedly.
Traccia is an AI agent observability and governance platform with OpenTelemetry-native tracing, runtime policy enforcement, prompt registry, evals, cost attribution, and compliance evidence export.
Single-binary CLI that builds an AI agent knowledge base from git repos, Claude Code/Codex sessions, and saved links. It generates a portable markdown wiki, runs on cron, supports local Ollama mode, and exposes the result for agents via CLAUDE.md/AGENTS.md and MCP.
A lightweight React Markdown renderer with built-in LaTeX, syntax highlighting, streaming-safe rendering, and security-focused defaults.
