Developer Builds Four-Agent AI System That Resolves GitHub Issues Autonomously

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A solo developer has built a multi-agent AI system that takes a GitHub issue from description to pull request without any human intervention. The pipeline uses four specialized agents — Architect, Coder, Reviewer, and PR Agent — each with distinct roles and no visibility into each other's reasoning. Code execution happens in a real Ubuntu cloud sandbox, where the Coder runs actual tests and iterates on failures up to three times. The entire workflow completes in roughly four minutes and runs on free API tiers, using Groq, E2B, LangGraph, FastAPI, and Next.js. Control flow between agents is handled by deterministic Python logic rather than an LLM, a deliberate design choice to keep behavior predictable and avoid runaway loops.

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