The Anatomy of a Perfect AI Agent Task

The article explains how to write effective AI coding-agent tasks by combining goal, context, constraints, success criteria, and examples.

It argues these richer task specs should be reserved for non-trivial work, not routine requests, to avoid bloated instructions.

The guidance stresses concise goals, only relevant architectural context, explicit constraints, and measurable completion criteria.

Clear task design helps agents produce better first-try output and reduces wasted context, unnecessary refactoring, and ambiguity.