I set up AI-powered code review bots that post structured, context-aware feedback directly on your GitHub pull requests — automatically, within seconds of a PR opening. No more waiting. No more inconsistent reviews.

My proof: Devlynx — an AI code review platform I built and shipped that cut manual PR review time by 50% and shortened release turnaround by a full day per sprint. It uses Gemini AI to analyse the PR diff and codebase context, then posts a structured review as a GitHub comment covering security, code quality, and specific improvement suggestions.

What I deliver: → GitHub webhook integration — triggers automatically on PR open/update → AI review engine (Gemini, GPT-4o, or Claude) — reads diff + context, not just surface code → Structured review output: security flags, quality notes, and line-specific suggestions → Event-driven pipeline via Inngest — reliable, observable, with retry logic → Review storage in PostgreSQL via Prisma ORM — every review saved, zero data loss → Next.js dashboard (optional) — browse all reviews across your repos → Deployed and production-ready on Vercel or your own infra

Every PR gets the same depth of review. Instantly.

Stack: TypeScript · Next.js · Bun · Gemini AI · Inngest · Prisma · PostgreSQL · GitHub Webhooks API · Vercel