agent-routing

To orchestrate AI agent workflows, you can define a sequential agent pipeline from requirements gathering to documentation, establishing role-based task assignment and model routing to manage feature development. This framework ensures structured coordination and review processes across different AI capabilities.

The best way to route tasks between AI agents is by evaluating task complexity and ambiguity to assign work to junior-coder, coder, or senior-coder roles. This role-based task assignment framework ensures specialized agents handle appropriate complexity levels within the pipeline.

Model routing specifies which AI model, such as Opus, Sonnet, or Haiku, should be used for each agent type. The framework prioritizes specific agent specifications over automated suggestions to match model capabilities with task requirements during delegation.

No, an orchestrator agent cannot write code directly during task delegation. The orchestration rules enforce that the orchestrator must delegate implementation tasks and ensure all code changes are reviewed by a tech-lead agent before committing.

You need a structured AI agent pipeline when managing complex AI workflows that require clear task delegation and review processes. It is particularly useful when initiating new feature development that requires structured steps from design to implementation.