Git AutoReview
AI Code Review Helper for GitHub & Bitbucket
Git AutoReview launched on January 22, 2026 with 22 votes, #699 of 14,585 launches that month and more than 95% of that year's launches.
What it does
AI-powered code review helper for GitHub, Bitbucket & GitLab (soon). Human-in-the-loop approval. Multi-model AI (Claude, Gemini, GPT). 50% cheaper than others. Included free tier.
Automate PR reviews with AI. Claude, Gemini & GPT in parallel. Install free VS Code extension. 50% cheaper than CodeRabbit. Start now.
Claude, Gemini & GPT review your PRs on GitHub, GitLab & Bitbucket. You approve before anything gets published. 25 PR bugs AI catches that humans miss — with fix examples. Free PDF. Git AutoReview installs straight from Open VSX — same publisher, same extension ID and same version as the Marketplace build. Unlike other AI reviewers that auto-publish, Git AutoReview gives you control. See how the full AI PR review workflow works end-to-end. Full support for GitHub Cloud & Enterprise, GitLab Cloud & Self-Managed, and Bitbucket Cloud, Server & Data Center. Run Claude, Gemini, and GPT in parallel. Smart merging combines similar findings. AI misses context, invents fixes, and flags noise. You…from gitautoreview.com
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Kilo Code ReviewerJan 2026 · kilo.ai · ▲799Automatic AI-powered code reviews the moment you open a PR
git-lrcFeb 2026 · hexmos.com · ▲300Hi HN, I'm the author of git-lrc, would appreciate some feedback from the community Last year my team started using AI coding tools more heavily, and we found ourselves generating tons of code, but spending less time looking at the stuff that's been generated. We felt like we were losing a bit of grip/understanding of what we were building. Regressions occasionally slipped through. Sometimes changes made it all the way to production only to be reverted later. We tried several AI code review tools, but most operate at PR time. That felt too late. I wanted review to happen while the…

Git for AI AgentsMay 2026 · github.com · ▲129hi guys. been working on something i think is fundamentally missing in today's workflow with ai agents. vcs. i find myself struggling with questions that agents can't answer like "why did you do it?", "when did u delete this folder? why?", etc. or trying to /rewind (after a /compact...) or basically `bisect` to find when and why something was done by the agent in the current / previous session. just like git did for code, i think we are the same core capabilities with ai agents so... i developed an open source solution for that (currently supporting claude code) would love to…

GPT Nitro for Github PR2023 · github.com · ▲113A ChatGPT-based reviewer for your GitHub pull requests
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Source: Product Hunt launch ↗
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Hey HN! I wanted to share something I built over the last few weeks: isometric.nyc is a massive isometric pixel art map of NYC, built with nano banana and coding agents. I didn't write a single line of code. Of course no-code doesn't mean no-engineering. This project took a lot more manual labor than I'd hoped! I wrote a deep dive on the workflow and some thoughts about the future of AI coding and creativity: http://cannoneyed.com/projects/isometric-nyc
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