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GARRICK

Graph-powered PR reviews with line-level code intelligence

Software Engineering
Artificial Intelligence
GitHub
Visit WebsiteSee on Product HuntGithub

Hunted byPriyansh BhardwajPriyansh Bhardwaj

PR reviews taking 2+ days kill developer momentum. GARRICK is a GitHub App that reviews every PR using Graph RAG and structural parsing giving line-level feedback that understands your entire codebase, not just the diff. Catches what standard AI reviewers miss: security vulnerabilities, cross-file impact, test coverage gaps, etc. Works across Python, JS, TypeScript, Go, Java and more. Currently in invitation-only beta, join the waitlist: https://forms.gle/zh8z6xBRmRTjBsJHA

Top comment

Hey PH 👋 I built GARRICK after getting frustrated with AI reviewers currently available in the market that only gives surface-level feedback without any real understanding of the codebase they are reviewing. Most tools take your diff, throw it at an LLM, and call it a review. The problem is a 5-line change in one file can break ten things across your entire repository. A diff tells you nothing about that. GARRICK approaches this differently.Before any review starts, it parses your entire repository and builds a structural call graph every function, every class, every dependency mapped and connected. When a PR comes in, it already knows how your codebase fits together. Then a team of specialist agents gets to work in parallel. One analyses code quality and anti-patterns. One hunts for security vulnerabilities at the exact line. One maps which functions across your entire repo are affected by this PR. One identifies test coverage gaps based on what the changed code actually does. Before anything reaches your PR, a final agent validates every finding. Nothing gets posted without being checked first. The output is a structured review posted directly on your GitHub PR within a few minutes. Real file paths. Real line numbers. Real fixes. Works across Python, JavaScript, TypeScript, Go, Java and more. Structural parsing handles the polyglot support not just LLM pattern matching. Just open a PR and go make your favourite coffee and by the time you come you'll have a detailed review ready for you. Currently invitation-only beta. Happy to go deep on any architecture or approach questions in the comments. What stack are you running that you would want GARRICK on?

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About GARRICK on Product Hunt

Graph-powered PR reviews with line-level code intelligence

GARRICK was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #51 on the daily leaderboard. PR reviews taking 2+ days kill developer momentum. GARRICK is a GitHub App that reviews every PR using Graph RAG and structural parsing giving line-level feedback that understands your entire codebase, not just the diff. Catches what standard AI reviewers miss: security vulnerabilities, cross-file impact, test coverage gaps, etc. Works across Python, JS, TypeScript, Go, Java and more. Currently in invitation-only beta, join the waitlist: https://forms.gle/zh8z6xBRmRTjBsJHA

GARRICK was featured in Software Engineering (42.7k followers), Artificial Intelligence (473.1k followers) and GitHub (41.3k followers) on Product Hunt. Together, these topics include over 136.7k products, making this a competitive space to launch in.

Who hunted GARRICK?

GARRICK was hunted by Priyansh Bhardwaj. A “hunter” on Product Hunt is the community member who submits a product to the platform — 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.

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