workflow-router

To route AI development tasks to specialist agents, you define your primary goal—such as research, plan, build, or fix. The workflow-router then identifies your intent and directs the task to the appropriate specialized agent for execution.

Multi-agent orchestration for software development coordinates specialized agents to handle distinct phases of a project. It manages task initiation, resource allocation, and sequential or parallel execution to ensure efficient code generation and investigation.

You allocate resources when managing AI coding workflows by selecting a strategy like Conservative, Balanced, Aggressive, or Auto. This choice dictates how the orchestrator manages computational resources across multi-agent execution for your task.

Yes, you can run pre-mortems before building code with AI agents. When routing a build goal, the orchestrator can evaluate any existing plans and run a pre-mortem before passing the task to the implementer agent for execution.

To fix code using sequential AI agent investigation, you route a fix goal to the orchestrator. It executes a sequential workflow where one agent investigates the issue first, then another agent implements the actual code fix based on those findings.

Workflow-router does not require specific external dependencies to orchestrate tasks. It operates independently to map user goals to specialist agents and manage resource allocation strategies without needing additional component installations.