Git AutoReview
Git AutoReview is an AI-powered code review extension for VS Code that works with GitHub, GitLab, and Bitbucket. It uses Claude, GPT, and Gemini to review pull requests and merge requests directly in your editor. Features include Standard Review (diff-only, 10-30 seconds) and Deep Review (agentic full-codebase analysis, 2-5 minutes). Built-in security scanning with 20+ rules detects vulnerabilities like SQL injection, XSS, and hardcoded secrets. Supports custom review profiles, Jira integration, and works with all three major Git platforms including Bitbucket Server and Data Center. Free plan: 10 reviews/day, 1 repo. Developer plan: $9.99/mo, 100 reviews/day, 10 repos. Team plan: $14.99/mo, unlimited reviews, 10 repos.
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DeepSource
DeepSource is an AI-powered code review platform designed to help development teams maintain high-quality, secure, and reliable code. The platform automates code reviews using a hybrid approach that combines static analysis with advanced AI agents. It integrates directly with development workflows through platforms like GitHub, GitLab, Bitbucket, and Azure DevOps. DeepSource analyzes pull requests in real time, identifying bugs, security vulnerabilities, code complexity issues, and maintainability risks before code reaches production. The system provides structured feedback and inline comments to help developers quickly understand and resolve issues. Additional features such as secrets detection, dependency vulnerability scanning, and infrastructure-as-code review strengthen application security. By automating repetitive review tasks and providing intelligent insights, DeepSource enables teams to ship software faster while maintaining strong code quality standards.
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Bito
Bito uses AI to streamline code reviews, making them faster and more consistent. The AI Code Review Agent understands the broader codebase and delivers precise, context-aware suggestions on pull requests.
Engineering teams rely on Bito to speed up review cycles, catch regressions early, and improve code quality. It integrates with GitHub, GitLab, and Bitbucket, and installs with a single click.
No code is stored, and no models are trained on your data.
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Kilo Code Reviewer
Kilo Code Reviewer is an AI-powered automated code review tool that analyzes pull requests the moment they are opened or updated, understands the changes in context, and provides actionable feedback, including inline comments, explanations, and suggestions to catch bugs, security issues, performance problems, style violations, test gaps, and documentation omissions before human review. It integrates with GitHub, GitLab, and (soon) Bitbucket, lets users choose from a wide selection of models and customize review strictness and focus areas to match team standards, and can be run locally in IDEs like VS Code or JetBrains to catch issues before commit. The setup is simple, connect a repository, select an AI model and review style, and the agent runs automatically on PRs, helping enforce coding standards consistently and complement human reviewers with instant, context-aware insights.
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