You paste a JIRA story into your IDE. Five minutes later, you have structured requirements, architecture decisions, interface contracts, a working implementation, test suites, a security audit, CI/CD pipelines, and monitoring dashboards — all generated autonomously by 40 coordinated AI agents.

No, this isn't a demo. It's a framework called autonomous-sdlc , and it's open source.

pip install git+https://github.com/bitbitcodes/autonomous-sdlc.git sdlc init .

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Let me explain what it is, why I built it, and what I learned about making AI agents actually work together.

The Problem: AI Coding Assistants Are Powerful but Unstructured

Every developer has experienced this: you open Copilot or Claude, paste a feature request, and start coding. The AI is helpful — brilliant, even — but it operates without a process. There's no requirements analysis. No architecture review. No security scan.…