Stop Rebuilding AI Agents for Every Task

📰 Dev.to AI

Learn to reuse AI agents across tasks by building a flexible orchestrator, increasing productivity and reducing redundancy

intermediate Published 3 Jul 2026

Action Steps

Identify the AI agents you use frequently, such as Claude Code or Codex
Build a flexible orchestrator that can be reused across tasks
Configure the orchestrator to work with your chosen AI agents
Test the orchestrator with a new task to ensure seamless integration
Refine the orchestrator based on feedback and performance metrics

Who Needs to Know This

Developers and AI engineers can benefit from this approach to streamline their workflow and improve efficiency when working with multiple AI agents

Key Insight

💡 Reusable AI agents can significantly reduce development time and increase productivity

Key Takeaways

Learn to reuse AI agents across tasks by building a flexible orchestrator, increasing productivity and reducing redundancy

Full Article

I use Claude Code, Codex, and a couple other CLI agents every day. For a while, every new task meant the same routine: write a fresh agent, wire up its tools, write the prompt, test it, throw it away when the task was done. After doing that a hundred times, I got annoyed enough to build the opposite workflow, and I open-sourced it. The idea: keep the agents, throw away the orchestrator Most setups do it the other way around. You keep one orchestrator running,

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