Developer Tools / Code Review
git-lrc is a Git-based AI code review tool that runs on commit and surfaces risk categories, inline findings, and a summary deck for each review.
The snapshot clearly shows an AI-powered developer tool with a concrete use case: automatic code review on git commit. The page explains what it does, who it helps, and several visible features such as risk categories, issue navigation, feedback loops, and generated review summaries. It has enough detail for a useful public listing.
The crawl does not show how the review model is configured, what AI provider it uses, or the exact setup flow beyond the quick install command. The visible page also cuts off before the full README, so maintenance details, limits, and broader usage examples are not fully visible.
Last evaluated 87 days ago. Current rank #1410. Down 2 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.
