I Built A Multi-agent AI System That Analyzes Your Github Like A... (2026)
DEV's Worldwide Show and Tell Challenge Submission 🎥
This is a submission for the DEV's Worldwide Show and Tell Challenge Presented by Mux
Ever wondered how your GitHub actually looks to hiring managers? Most devs never get honest feedback about their repositories until it's too late in the interview process. GitResume aims to change this by deploying four specialized AI agents that analyze your code like a real technical interview panel would.
Built on Tiger Cloud's Agentic Postgres with advanced pg_text search capabilities, it processes multiple repositories simultaneously to detect cross-project patterns & generate actionable career guidance. This isn't just another code analyzer, it's the brutally honest technical feedback every developer needs but rarely gets, delivered in secs instead of months.
🚀 Zero-Friction Experience → GitResume No auth barriers. Just username → instant AI analysis
🎯 Interactive Journey → Step-by-step multi-agent orchestration in action
⚡ Code Deep-Dive → Tiger Cloud + 4-Agent Architecture + Next.js 16
Transform your GitHub repositories into professional developer insights with AI-powered multi-agent analysis
GitResume leverages Tiger Cloud's Agentic Postgres architecture to provide comprehensive analysis of GitHub repositories through 4 specialized AI agents. The platform integrates Tiger CLI for service management and implements a multi-agent system that analyzes real repository code, providing actionable career guidance and professional development recommendations.
No signup required - just enter any GitHub username and watch four AI agents analyze years of development work in seconds.
Source: Dev.to
