Free, Micro AI Code Reviews That Run on Git Commit
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Updated
Sep 5, 2026 - Go
Free, Micro AI Code Reviews That Run on Git Commit
🚀 AI-powered code review tool for GitHub, GitLab, Bitbucket Cloud, Bitbucket Server, Azure DevOps and Gitea — built with LLMs like OpenAI, Claude, Gemini, Ollama, Bedrock, OpenRouter and Azure OpenAI
An AI-powered GitHub code review tool that uses LLMs to detect high-confidence, high-impact issues—such as security vulnerabilities, bugs, and maintainability concerns.
Get codebase-aware feedback in your GitHub, GitLab, Bitbucket pull requests or directly in your IDE.
Find and fix web-app vulnerabilities in one command — SAST + DAST + AI, for devs who aren't security experts.
AI-powered code review assistant for gitlab - intelligent suggestions and automated analysis.
AI platform for GitHub pull requests with a cloud coding agent for autonomous code review, background issue resolution, and automatic PR title/summary generation.
一个用于GitLab/GitHub或通用代码托管平台的自动化代码审查工具,旨在提升代码质量,提供智能反馈,并通过灵活配置实现高效的审查流程。
Automated, Pull Request reviews and Issue Triaging powered by Google Gemini. With full codebase context. Installable as a GitHub Action.
Official website for LlamaPReview Github APP: AI-powered GitHub Code review assistant. Showcases features, usage, and benefits of our GitHub App.
A comprehensive full-stack platform for conducting AI-powered coding assessments with real-time code execution, multi-language support, and automated evaluation.
Convert GitHub pull requests into a single Markdown file for offline review and local AI workflows.
Yang Code Review (YCR) - A lightweight GitHub Action for AI-powered, OWASP-aligned code review with your own LLM provider.
AI code reviewing platform for assisted, prioratized and swift PR reviews
AI PR reviewer that posts real GitHub reviews. Request it like a human reviewer.
A full-stack web application that leverages Google Gemini AI to review code, provide actionable feedback, and suggest improvements in real time.
AI-code readiness scanner — flags what a human reviewer would catch before AI-generated code ships (secrets, missing auth, weak validation, no tests) with explainable, weighted scoring.
LLM based code reviews for pull requests
Real-time code analysis that detects cross-file semantic errors, type inconsistencies, array bound violations, and function signature drift while you type, before files are saved, without external security APIs.
To associate your repository with the ai-code-reviewer topic, visit your repo's landing page and select "manage topics."