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This article explains when and how to use subagents—specialized agents that main agents spawn to complete focused tasks—covering the key architectural patterns of chaining (sequential handoffs from research to implementation to verification) and fan-out (parallel execution of multiple subagents for concurrent tasks). The piece provides practical guidance on system prompt design, tool scoping, permission management, and output contract specifications for clean inter-agent handoffs.
A critical section addresses risk mitigation and governance considerations including context bloat from poorly structured handoffs, the dangers of over-permissioning subagents with filesystem, database, or API access, and recognizing when subagents create more problems than they solve. For product managers overseeing agentic product development, understanding these orchestration patterns and failure modes is essential for making informed architectural decisions and establishing appropriate governance policies around agent permissions and scope.
This advanced resource dives deep into technical skills. It's best suited for experienced practitioners looking to master complex topics and stay at the cutting edge.
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Go to builder.ioThis free short course from DeepLearning.AI teaches how to use large language models through the OpenAI API. Taught by Isa Fulford (OpenAI) and Andrew...
Aleksander Dytko breaks down Claude Code into four foundational building blocks that together enable sophisticated AI automation workflows. The first...
This comprehensive guide addresses systematic decay in AI systems through structured prompt optimization practices. The article establishes that promp...