Claude Code Agent Team: 3 AI Agents Build a Feature Together. скачать в хорошем качестве

Claude Code Agent Team: 3 AI Agents Build a Feature Together.

I run three specialized agents in parallel on the same codebase. Architect, backend engineer, frontend engineer on a refactoring feature completed in 18 minutes. But speed isn't the point. Steering is. I walk through my agentic harness with Claude Code's Agent Team. A GitHub issue gets pulled by a custom skill, decomposed by the architect agent, then distributed to backend and frontend agents executing in parallel. The architect reviews, iterates, runs tests. Standard QA workflow, except i'm just commenting. What I enforce under the hood: Zod-typed authenticated query middleware on every API entry point Role-based permission checking (admin vs. authenticated user) Rate limiting and audit trail logging Convex tests, React component tests, Playwright E2E Without those rules baked into custom skills, the agent defaults to basic mutations. No validation, no permission checks, no type safety. The 90% works fine. The 10% is still yours to enforce. The agent also added a feature I never asked for. This is why code review in Agentic development matters more, not less. You're catching decisions, not just bugs. Timestamps: 0:00 Current state of the boilerplate 0:45 GitHub issue as agent input 1:30 Agent Team skill and role definitions 3:00 Architect planning and task distribution 5:00 Backend and frontend agents in parallel 8:00 Authenticated middleware and security enforcement 12:00 Agent self-testing with Playwright 15:00 Catching unexpected features in review 17:00 PR creation with DevX git skill Open source: sandbox-shell → https://github.com/agentic-dev3o/sand... DevX plugins → https://github.com/agentic-dev3o/devx... Learn to build your own agentic harness → https://dev3o.com Weekly deep dives → https://dev3o.substack.com