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# How to Run Coding Agents in Parallel

**[Towards Data Science](https://daily.dev/sources/tds)** · 7 min read · 2 upvotes · 0 comments

## Summary

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.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://towardsdatascience.com/how-to-run-coding-agents-in-parallell/>

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Tags: [#ai](https://daily.dev/tags/ai), [#automation](https://daily.dev/tags/automation), [#claude](https://daily.dev/tags/claude), [#devtools](https://daily.dev/tags/devtools), [#productivity](https://daily.dev/tags/productivity)

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