The original title is "Building a Four-Agent Autonomous System for GitHub Issue Resolution"

Short summary

A developer shares their experience building a four-agent autonomous system that reads GitHub issues, writes code, runs tests, performs AI code review, and opens pull requests with no human intervention. The Architect plans, the Coder implements in a cloud sandbox, the Reviewer checks for security issues, and the PR Agent drafts the PR. Built entirely on free tiers using Groq's Llama 3.1, E2B sandboxes, and LangGraph, with a deterministic Python supervisor instead of LLM-based routing.

• •Four-agent pipeline (Architect, Coder, Reviewer, PR Agent) autonomously resolves GitHub issues end-to-end in ~4 minutes
• •Agents have isolated roles and cannot see each other's internal reasoning; control flow is deterministic Python if/else logic
• •Runs entirely on free tiers: Groq for LLM inference, E2B for cloud sandboxes, LangGraph for agent orchestration

Generated with AI, which can make mistakes.