A good requirements spec for an AI coding agent defines the goal, scope, constraints, success criteria, and verification steps. It should tell the agent what to build, what not to change, and how the user will know the work is done.
Useful specs include target files or modules, user-facing behavior, API contracts, data model expectations, test commands, design constraints, and known risks. The spec should be specific enough to guide implementation but not so rigid that the agent cannot suggest better engineering choices.
Verdent's Plan Mode can help turn a rough idea into this kind of executable plan. The agent can ask clarifying questions, surface gaps, and organize work into steps. For agentic coding, a spec is not paperwork. It is the control layer that keeps fast code generation aligned with real product intent.
