Turn development work into review-ready context in one pass. Record the implementation and verification flow, then generate a PR description that carries what changed, why it changed, and how it was validated.
Capture implementation proof once, then generate a PR-ready description from this recording without leaving the page.
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Show the state before the change (if practical), the action you changed, and the expected post-change outcome. End with a short verification check so reviewers see signal, not only intent.
Use short spoken labels for key steps: what changed, what was tested, and what should still be confirmed. This improves PR draft quality and shortens manual cleanup.
Open the generated document flow on the watch page, choose PR description, then edit for your team's format (Conventional sections, linked issues, rollback plan, etc.).
If your team uses issue-linked PR templates, keep this recording link under the same ticket and paste the generated description into the PR body. The recording gives reviewers quick confirmation of behavior that is hard to infer from code alone.
One recorded context can be reused for sprint updates, QA handoff, and future incident notes. For broader docs work, switch to theScreen recording to guideflow.
Reviewers lose less context when they can replay exactly what changed and how the maintainer validated it. A recording makes intent visible, especially when logs are complex or UI behavior is stateful.
This does not replace code review, unit tests, or release notes. It is a communication artifact: a compact way to connect implementation detail with user-visible behavior and manual checks in one place.
It creates a strong first draft that keeps the recording context attached. You should still review and align terminology with your repository's PR template before posting.
Yes when feasible. Showing key test commands and visible pass/fail output gives reviewers confidence and shortens clarifying questions.
Keep the flow focused on observable outcomes: before/after state, feature flags, or command output that proves it. If the change is backend-only, include any accessible UI or API result that demonstrates it.
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Doing this for an AI workflow?
Clipy recordings are agent-readable out of the box. One link carries the video, keyframes, and transcript.