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ReviewPhin
Self-hosted, agentic code review for GitLab and GitHub. π¬
Self-hosted, agentic code review for GitLab and GitHub. Run it on your own infrastructure, bring your own model (or GitHub Copilot License), and pay per review - not per developer. A multi-agent pipeline posts findings as native, bot-owned review comments you fully control.
I built ReviewPhin - self-hosted AI code review for GitLab and GitHub.
Why I built it? Tools like CodeRabbit, Greptile, and GitHub Copilot code review are genuinely great - ReviewPhin isn't trying to beat them, it fills a gap they didn't cover for me:
Per-review, not per-developer. Per-seat pricing scales with headcount even when only a fraction of MRs need AI review. One Copilot seat (or a self-hosted model) can drive reviews for a whole team.
Bring your own model - including private ones. Point the reviewer at Copilot, Azure OpenAI, Anthropic, vLLM, or a model on your own GPUs. Code stays inside your network.
GitLab-first. Most self-hosted GitLab teams get skipped. ReviewPhin starts there, with GitHub supported via a GitHub App.
How it works. You "@reviewphin review" a merge/pull request. A multi-agent pipeline (context-analyst + review-author, plus a lightweight chatter for follow-ups) produces findings with severity and inline suggestions, and comments as code reviewer. Reply in a thread to continue the conversation, or teach it durable project conventions it remembers next time.
Everything is yours - storage (SQLite or Flotiq), model, subscription, hosting. Deploy in minutes with Docker Compose or the Helm chart.
It's open source (MPL 2.0). I'd love your feedback - and if one of the hosted tools fits your team better, genuinely use them. π¬
About ReviewPhin on Product Hunt
βSelf-hosted, agentic code review for GitLab and GitHub. π¬β
ReviewPhin was submitted on Product Hunt and earned 4 upvotes and 3 comments, placing #157 on the daily leaderboard. Self-hosted, agentic code review for GitLab and GitHub. Run it on your own infrastructure, bring your own model (or GitHub Copilot License), and pay per review - not per developer. A multi-agent pipeline posts findings as native, bot-owned review comments you fully control.
On the analytics side, ReviewPhin competes within Developer Tools, Artificial Intelligence and GitHub β topics that collectively have 1M followers on Product Hunt. The dashboard above tracks how ReviewPhin performed against the three products that launched closest to it on the same day.
Who hunted ReviewPhin?
ReviewPhin was hunted by R G. A βhunterβ on Product Hunt is the community member who submits a product to the platform β uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of ReviewPhin including community comment highlights and product details, visit the product overview.
R G
Hi Product Hunt!
I built ReviewPhin - self-hosted AI code review for GitLab and GitHub.
Why I built it? Tools like CodeRabbit, Greptile, and GitHub Copilot code review are genuinely great - ReviewPhin isn't trying to beat them, it fills a gap they didn't cover for me:
Per-review, not per-developer. Per-seat pricing scales with headcount even when only a fraction of MRs need AI review. One Copilot seat (or a self-hosted model) can drive reviews for a whole team.
Bring your own model - including private ones. Point the reviewer at Copilot, Azure OpenAI, Anthropic, vLLM, or a model on your own GPUs. Code stays inside your network.
GitLab-first. Most self-hosted GitLab teams get skipped. ReviewPhin starts there, with GitHub supported via a GitHub App.
How it works. You "@reviewphin review" a merge/pull request. A multi-agent pipeline (context-analyst + review-author, plus a lightweight chatter for follow-ups) produces findings with severity and inline suggestions, and comments as code reviewer. Reply in a thread to continue the conversation, or teach it durable project conventions it remembers next time.
Everything is yours - storage (SQLite or Flotiq), model, subscription, hosting. Deploy in minutes with Docker Compose or the Helm chart.
It's open source (MPL 2.0). I'd love your feedback - and if one of the hosted tools fits your team better, genuinely use them. π¬