LlamaPReview – AI code reviewer trusted by 2000 repos, 40%+ effective

Show HN: AI code reviewer that analyzes cross-module impacts

Based, LlamaPReview – AI code reviewer trusted by 2000 repos, 40%+ effective works in show hn launch.

Profile

Hey HN! I'm Jet, building LlamaPReview.Most AI code reviewers only see the diff. They miss the real risks: a function rename that breaks 5 other files, a dependency change that shifts your architecture, a "small" PR that actually rewrites your auth logic.We built a context retrieval engine that pulls in related code from across the repo before analysis. On complex PRs, it auto-generates Mermaid diagrams showing cross-file impacts.Technical challenges: 1. Deciding which files are "related" without analyzing the entire repo every time (we use code graphs + call chains + git history) 2. Fitting it into LLM context limits (we rank by relevance and truncate aggressively) 3. Auto-detecting when to

LlamaPReview – AI code reviewer trusted by 2000 repos, 40%+ effective is positioned in show hn launch, a segment that rewards a clear, focused offering.

The company is listed at the Show HN launch stage of development.

Website: jetxu-llm.github.io/LlamaPReview-site/I