An AI development spec should include the user goal, functional requirements, constraints, files or systems likely to change, success criteria, and verification steps. It should make the work concrete enough for an agent to implement and for a human to review.
This matters because AI agents are fast. If the requirement is vague, they may quickly produce polished code that solves the wrong problem. A spec tells the agent what to build, what not to change, how the result should behave, and how it will be verified.
Verdent's Plan Mode supports spec-driven development by helping users turn an idea into an executable plan before coding starts. Once the plan is approved, agents can implement scoped tasks and return reviewable changes. A strong spec keeps human intent in charge while still using agents for speed.
