Code quality

A code-change viewer, backed by Y Combinator, built for reviewing work written by coding agents, presenting a plain-language narrative of each change alongside the diff and a running conversation with the agent.

• Git
• Code quality

An MCP server that computes git repository analytics such as hotspots, churn, temporal coupling, knowledge maps and risk scoring entirely from local commit history, for AI coding agents like Claude Code and Codex.

• MCP servers
• Code quality

A verification layer for AI coding agents working on Apple projects: it runs real Xcode builds and tests against the Swift an agent wrote, reconciles static analysis findings against that evidence, and returns a signed proof with the exact repairs still needed.

• Code quality
• Testing

A file-based toolkit that keeps a project's coding lessons and rules inside the repository, compiles them into a deterministic, offline lint rule set, and exposes a queryable index of past decisions for any AI coding agent.

• Agent skills
• Code quality

A local-first production evidence gate that scans a repository for security, correctness, scale and performance issues without executing its code.

• Code quality
• Security

An MCP server that gives AI assistants such as Claude and VS Code Copilot the ability to run pylint and pytest, plus other Python quality tools, against a Python project and get LLM-friendly results.

• MCP servers
• Code quality

An automated code-review command-line agent that reviews a change, applies fixes, and runs tests, recording every step as a structured trajectory used to train an open-weight code-review model.

• Models
• Code quality

A Chrome and Edge browser extension that adds a stack-aware pull request list and a fast in-page review modal to GitHub, so reviewers can browse, diff and comment on stacked PRs without leaving the pulls page.

• Git
• Code quality

An MCP server that has a second model such as OpenAI Codex or Google Gemini review code that Claude Code just wrote, returning structured feedback inline using a subscription you already hold.

• MCP servers
• Code quality

A terminal tool for exploring, comparing, monitoring and reporting on open-source package health, adoption, dependencies, releases and security advisories across ecosystems such as PyPI, npm, crates.io and Go modules.

• CLI tools
• Code quality

An official MathWorks toolkit that gives AI coding agents an MCP server and companion skills for running Polyspace static analysis on C and C++ code, fixing violations and formally verifying run-time safety.

• MCP servers
• Code quality

A stability-score lookup for npm package versions, backed by GitHub issues and community reactions rather than a database, answering whether it is safe to upgrade to the latest version of a package.

• Code quality

NITR is a repository-level benchmark that checks whether an AI agent's code edits stay maintainable, not just behaviorally correct, pairing multi-file change requests with hidden functional tests and structural oracles across nine maintainability dimensions.

• AI evals
• Code quality

Trustabl is a GitHub Action that scans an agent codebase across frameworks such as the Claude Agent SDK, OpenAI Agents SDK, Google ADK, MCP, LangChain, LangGraph, CrewAI, AutoGen and Pydantic AI, and reports production reliability findings directly in the pull request.

• Code quality
• CI/CD

iamnotacoder is a toolkit of LLM-assisted scripts that discovers Python repositories on GitHub, then improves their code style, fixes issues and adds tests, integrating with GitHub to fork and commit the results.

• Code quality

A tool for reviewing AI-generated HTML pages, markdown documents and code diffs by leaving comments directly on the artifact, then sending that feedback back into the originating coding agent to act on.

• Coding agents
• Code quality

A Rust rewrite of the Graphify code-graph tool that lets an AI agent ask who calls a symbol, what depends on it, and what might break if it changes, indexed in SQLite for fast repeated queries.

• Code quality

A framework that has two AI models argue over a piece of code, with a third cross-validating, so a security or correctness finding survives adversarial attack instead of resting on one model's opinion.

• Code quality
• Security

An MCP server that checks whether a component an AI agent is about to write already exists as a maintained library on GitHub, so the agent borrows, adapts or writes it on purpose instead of quietly rebuilding it.

• MCP servers
• Code quality

A webhook-driven service that runs automated AI code review on GitLab merge requests and GitHub pull requests through Claude Code, tracking progress on a real-time dashboard.

• Code quality

An open specification for a structured file that a software project includes to declare which parts of its code were generated or assisted by AI, and to what degree, so that a reviewer knows exactly which parts to double-check.

• Code quality

A detector and repair tool for Chinese text corruption, or mojibake, that AI coding assistants can silently introduce when editing files, usable as a GitHub Action, a Claude Code hook, or a standalone command-line scan.

• CLI tools
• Code quality

A Python architecture and scaffolding tool that mines other projects' closed GitHub issues for recurring failure patterns before generating a new project's scaffold, then keeps auditing the growing codebase for dependency cycles, drift and fragile modules.

• CLI tools
• Code quality

A set of AI coding agents that read and enforce a team's own coding standards, written as machine-readable YAML rules layered from official, community and team-local sources.

• Agent skills
• Code quality