Writes PRDs that AI agents can act on reliably — explicit about constraints, edge cases, and acceptance criteria so the gap between what you mean and what the agent builds is minimal.
Use cases
- Feature requests for AI agents
- Spec writing for autonomous tools
- Cross-team alignment
Key features
- Define the user goal and constraints
- List edge cases explicitly
- State acceptance criteria in verifiable terms
- Include anti-examples
Related
Related
3 Indexed items
Receiving code review
Structures responses to review feedback—separating nitpicks from defects and tracking follow-ups—so merges stay focused and respectful.
Writing implementation plans
Turns frozen requirements into step-by-step implementation plans with clear file touchpoints, checkpoints, and verifiable outcomes before any code lands.
Documentation from code
Extracts architecture decisions, API contracts, and usage patterns directly from code to produce accurate documentation — keeps docs in sync with implementation instead of treating them as separate artifacts.