TL;DR I built AutoMaintainer, a multi-agent AI system that transforms GitHub issues into...
TL;DR
I built AutoMaintainer, a multi-agent AI system that transforms GitHub issues into production-ready pull requests during the Qwen Cloud AI Hackathon. It coordinates specialized agents (Issue Analyst, Developer, QA, Security, Documentation, Reviewer) to solve problems like a real engineering team—all while keeping humans in control. Here's what I learned.
The Problem
Open-source maintainers face a brutal reality:
⏱️ Code review bottlenecks
A practical breakdown of the plan-execute-verify loop behind an autonomous AI coding agent, and how to wire it to GitHub so an…
How I wired Z.AI's GLM models into a GitHub Action that reviews PRs, scans secrets, and auto-merges. Plus the OpenClaw cron fleet…
published: false description: "How to design an AI-driven TDD loop that never gets stuck — GitHub...
Every open-source maintainer knows the feeling. You wake up, check your repo, and there are 12 new...
Princeton researchers just released an open-source AI agent that autonomously fixes GitHub issues —...
I Built a "Production-Ready" AI Agent Framework. It Was a Lie. So I Fixed It. A story...
