Spec-driven AI development is a workflow where the human defines requirements, constraints, and success criteria before the AI agent writes code. The spec becomes the source of truth for what the agent should build.
This matters because AI agents are fast, and speed can amplify unclear instructions. If the input is vague, the output may look polished while solving the wrong problem. A spec gives the agent boundaries: what to change, what to preserve, what tests matter, and what outcome counts as success.
Verdent's Plan Mode supports this workflow by turning incomplete ideas into structured plans before execution. Once the plan is approved, agents can implement, test, and return reviewable changes. Spec-driven development is not anti-AI. It is how teams keep human intent in charge while agents handle more of the implementation work.
