verify-understanding

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Verify the engineer is ready to implement a feature — a teach-back conversation over a .TICKET-REVIEW.md where they explain the feature in their own words and the agent probes and corrects.

AI & Automation 50 stars 11 forks Updated yesterday MIT

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# Verify understanding One goal, nothing more, nothing less: verify the engineer is ready to move to the implementation phase. Exercise their understanding of a feature before they work on it — the pipeline's other artifacts serve fresh agent sessions; this step serves the human. Active recall: the user produces the feature in their own words, you only steer and fix. Re-runnable: right after the ticket review, or days later just before implementation — every run starts fresh from the review file, no state kept between runs. ## Input A `.TICKET-REVIEW.md`. Read it and the ticket files and parent it links. A reference that exists only as a tracker URL (no local file) may be fetched read-only at conversation time. ## The conversation A conversation, not a test — the last sync between a dev and their PO before development starts. Word your probes and corrections via `explain-in-simple-language` when available. 1. Ask the user to explain the feature in their own words: who uses it, what they see and do, why the feature exists, and what each ticket contributes. 2. Let them produce the narrative. Probe one weak spot at a time; correct and complete only from the review file and the referenced materials — flag what those don't settle, never improvise requirements. 3. Stay at that PO–dev depth: journey, actors, purpose, per-ticket contribution — not DTO, field, or architecture detail. When the product's user-facing language differs from the conversation's, name each ...

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Author
eai-org
Repository
eai-org/agent-toolkit
Created
4 months ago
Last Updated
yesterday
Language
Shell
License
MIT

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