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── 99246 repos indexed ── | filtered by tag: codereview
reviewdog/reviewdog ★ 9660 503 APPLICATION

reviewdog is a Go CLI that bridges linter output to code review platforms. It consumes diagnostic output from any linter or compiler via stdin in multiple formats — Vim errorformat, SARIF 2.1.0, Checkstyle XML, the project's own RDJSON/RDJSONL protobuf-defined format, or raw unified diff — parses it, filters findings against a code diff so only issues on changed lines get posted, and reports them to GitHub (check runs, PR reviews, annotations), GitLab MRs, Bitbucket, Gerrit, or Gitea, or writes them locally in text, RDJSON, or SARIF form. The core architecture is a set of loosely coupled Go packages: parser/ for format decoders, diff/ for unified diff parsing, filter/ for diff-aware result filtering, service/ for per-platform comment and diff API clients, cienv/ for CI context detection, and project/ for executing multi-runner .reviewdog.yml configs. The CLI entry point is cmd/reviewdog/main.go, with orchestration in reviewdog.go around the CommentService and DiffService interfaces; command flow is: subprocess or stdin -> parser -> ResultMap -> diff filter -> reporter service -> host-platform API.

RATING: 9.2/10 MAINT: active DRIFT: low
▸ 5 reusable components found
anc95/ChatGPT-CodeReview ★ 4462 459 APPLICATION

This repository implements an AI-powered code review bot for GitHub. It listens for pull request events (opened, synchronize) and uses OpenAI's language models (or Azure OpenAI, GitHub Models) to automatically review code diffs and post inline comments and summary reviews. The system supports multiple deployment modes: a Probot-based GitHub App, a GitHub Action, an AWS Lambda function, and a Vercel serverless function. The core logic is in `src/bot.ts` (event handling, file filtering, review creation) and `src/chat.ts` (LLM API abstraction). The architecture is a monolith with adapter layers for each platform. External dependencies include the OpenAI/LLM API, GitHub API via Octokit, and minimatch for glob-based file filtering. The bot is configurable via environment variables for model selection, prompt customization, language, and file inclusion/exclusion patterns. It also implements an incremental review feature to reduce API costs by only re-reviewing files changed since the last bot review.

RATING: 7.1/10 MAINT: maintained DRIFT: medium
▸ 2 reusable components found
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