Beyond the Prompt: Subagents as the New Frontier of Agentic AI

As AI tasks grow in complexity, the shift from single-model reasoning to multi-agent orchestration via subagents is becoming essential for overcoming context limitations. This architecture allows for massive parallelization and specialized execution, which Anthropic research indicates can boost performance by over 90% compared to monolithic models. For developers, mastering subagent patterns like fan-out and pipelines is the key to building truly scalable and efficient AI-driven applications.