Agentic Engineering

Design tasks so AI agents can execute them reliably. This is not about using Copilot features — it is about architecting work so agents succeed on the first attempt, fail loudly when they can't, and hand off cleanly to the next agent.

Why This is Copilot-Exclusive

The patterns here are specific to Copilot CLI's agent execution model: task() dispatch, read_agent / write_agent lifecycle, SQL session state, and background agents with mode: "background". They don't map directly to interactive coding sessions in other tools.

When to Use

• Decomposing a large task before dispatching it to an agent or fleet
• Designing a multi-agent workflow where context must transfer between agents
• Debugging why an agent produced incorrect or incomplete output
• Establishing quality standards for a new agentic workflow

When NOT to Use