Agentic AI Crew — Multi-Agent Software Development Harness
Independent Project · 2026
A multi-agent harness, powered by Claude Code, where a specialized crew of eight AI agents builds software collaboratively end to end — a manager that assigns and organizes the work, plus a system designer, database developer, software engineer, test engineer, deployment engineer, code reviewer, and an AI-optimizer that tunes the crew after every iteration. Each agent is scoped to least-privilege permissions and a curated set of MCP tools, keeping responsibilities and access tightly bounded. The crew runs roughly 99% of day-to-day development, design, testing, and deployment autonomously, while I stay the human-in-the-loop — monitoring the harness and reviewing code and design at critical checkpoints.
~99%Day-to-day automation
8Specialized agents
Human-in-loopReview & oversight
The Crew
- Manager — assigns tasks and organizes the workflow across the crew.
- System Designer — designs new projects and features for existing ones.
- Database Developer — data modeling and SQL development.
- Software Engineer — API development and software product build-out.
- Test Engineer — writes unit and integration tests for every engineer's work.
- Deployment Engineer — AWS cloud deployment and AWS CDK infrastructure.
- Code Reviewer — reviews every developer's code and raises CRs / PRs.
- AI-Optimizer — after each iteration, tunes the agents and builds new MCP tools.
Manager assigns
→
Design · Build · Test · Deploy
→
Code review (PR/CR)
→
Human approval
→
AI-Optimizer tunes agents + MCPs
Highlights
- Orchestrated a crew of 8 specialized Claude Code agents spanning management, design, database, software, test, deployment, code review, and AI optimization.
- A manager agent assigns and organizes work; engineers hand off across design → build → test → deploy.
- Built-in code review on every change (raising CRs / PRs) before it ships.
- An AI-optimizer tunes the agents and creates new MCP tools after each iteration, so the crew improves over time.
- Scoped each agent to least-privilege permissions and a curated set of MCP tools.
- I stay the human-in-the-loop — monitoring the harness and approving code and design at critical checkpoints.