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audits Git history to quantify rework in AI-generated engineering work, including PR correction rates, churn clusters, superseded work, and line survival.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 90 days ago. Current rank #435. 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.
Mercemur is a store automation platform with three interfaces: a REST API, an MCP server for AI agents, and a CLI for editing storefronts as files. The docs show authentication, scopes, rate limits, error handling, pagination, idempotency, and a large API surface for catalogue, orders, customers, pricing, and money.
A zero-dependency C++23 CLI and MCP server that gives coding agents a ranked map of a repository, including call context, blast radius, and tests to run.
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.
