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Running multiple AI coding agents in parallel maximizes software engineering productivity. The workflow involves prioritizing high-impact tasks, using plan mode to provide detailed instructions (spending 15-20 minutes upfront), then spinning up additional agents while the first works autonomously. Key requirements include maintaining a prioritized task list, using plan mode liberally to reduce iteration, and employing CLI-based tools like Claude Code or Gemini CLI with terminal multiplexing for easy agent management. This approach leverages the autonomous work periods of coding agents (5-20 minutes) to work on multiple features simultaneously.

How to Run Coding Agents in Parallel