A solo developer details their experience managing 35 specialized AI agents for coding tasks, highlighting the challenge of inter-agent conflict. They describe how agents, designed for specific roles like backend development or quality assurance, can enter loops or pull code in conflicting directions without proper orchestration. To mitigate this, the developer implemented three key patterns: establishing a single source of truth for shared concerns, assigning explicit ownership via a router agent for ambiguous tasks, and locking agent context to prevent parallel modifications from interfering. AI
IMPACT Demonstrates the practical challenges and solutions for orchestrating multiple AI agents in a development workflow.
RANK_REASON This is a personal account of using AI agents, not a new model release or major industry event.
Read on dev.to — Claude Code tag →
- backend-developer
- ceo
- cfo
- cto
- Claude Code
- client-communicator
- security-engineer
- inbox-monitor
- postgres-pro
- quality-gate
- Redis
- test-automator
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