Multi-Agent Dev Team
Structured AI agent teams with memory and coordination Most people interact with AI assistants one prompt at a time. I wanted to see what happens when you design a full development team of AI agents — each with a defined role, personality, diagnostic methodology, and persistent memory — and have them collaborate on real engineering work. The setup: Five specialized agents, each with a distinct archetype and working style: Leader — Delegation, scoping, planning. Operates through a 5-field briefing format and dual quality gates. Backend — Django/DRF/Postgres specialist with a diagnostic loop that has a hard stop: after 2 failed hypotheses, escalate instead of brute-forcing. Frontend — Next.js/TypeScript, 4-states rendering rule, and a QA checklist that runs before any PR. Designer — Full state specifications and a feasibility gate that forces consideration of edge cases before committing to designs. Security — 7-category Django-aware review that runs after every Backend or Frontend task, before the second quality gate. Memory architecture: ...