Autonomous Multiagent pipeline to create any app, just give an idea.

A system that works autonomous.. PMs write requirements. Architects validate feasibility. Developers write code. QA tests it. Everyone waits on everyone else. Context drops between every handoff. So I built ACO System — a multi-agent framework where six specialized AI agents run the entire pipeline autonomously, from GitHub Issue to merged PR. No babysitting. No dropped context. Real artifacts. The pipeline: → PM writes the user story → Planner breaks it into tasks with estimates → Architect validates it (hard gate — no LLM, no hallucination risk) → Developer creates the branch and opens the PR → QA reviews and runs tests → Human gives final sign-off The bit I'm most proud of: the Architect gate is deterministic. It scans for hardcoded secrets, missing acceptance criteria, invalid tech stack config. If anything fails, the story never reaches a developer. Zero bad PRs. The other thing that makes it different from LangChain/AutoGen/CrewAI: the agents don't talk to each other. They all read and write through a shared database. Each one runs independently. Complexity stays in the schema, not the logic. Built in Python + Next.js. Works with SQLite in dev, Postgres in prod. Ships with a live Kanban dashboard and a streaming event feed so you can watch the agents work in real time. It's open source https://github.com/aniketkarne/aco-system Would love feedback from people building in the agentic tooling space. \#AIAgents #MultiAgent #OpenSource #DevOps #BuildInPublic