What I Learned Supervising 5 AI Agents on a Real Project

📰 Dev.to AI

Supervising 5 AI agents on a real project reveals key lessons on productivity, programming, and devtools

intermediate Published 5 Apr 2026

Action Steps

Run multiple AI agents in parallel to increase productivity
Implement a supervisor system to monitor and control AI agents
Use tools like tmux and Git worktrees to manage AI agent workflows
Develop strategies to verify AI agent outputs and handle context exhaustion

Who Needs to Know This

Developers, product managers, and AI engineers can benefit from understanding the challenges and opportunities of supervising multiple AI agents, improving team productivity and project outcomes

Key Insight

💡 Effective supervision of multiple AI agents requires a combination of technical tools and strategic oversight to ensure productivity and accuracy