Pull Request Test Plan Generator
Turn a public GitHub pull request into a focused test plan covering core behavior, regressions, interfaces, APIs, data, permissions, and dependencies.
Start with a public pull request
Scopy reads public GitHub metadata and changed-file details. It does not request repository access or write anything back to GitHub.
Evidence used
PR size, areas, tests, sensitive paths, and file operations will appear here after import.
Generated test plan
Import a public pull request to generate an editable result.
How is the pull request test plan generated?
The generator starts with checks that apply to any behavioral change, then adds focused sections when changed paths suggest interfaces, APIs, databases, authentication, or dependencies. These are review prompts, not claims that a particular failure exists.
Everything runs in your browser against GitHub's public API. The tool looks at which files changed and what kind of files they are: a changed migration adds data-safety checks, a changed auth path adds permission checks, a changed component adds interface and accessibility checks. What it cannot see is your business logic, so treat each generated item as a question the change should be able to answer.
A good test plan is small and falsifiable. Ten specific checks that could realistically fail beat fifty generic ones that nobody executes. Delete the sections that do not apply to your change — an honest short plan builds more reviewer trust than an impressive long one.
Use the generated plan to make missing verification explicit. Replace generic checks with concrete commands, environments, fixtures, and expected outcomes from your repository.
Related reading: Reviewing AI-generated code: a practical checklist.
Frequently asked questions
- Can a test plan be generated without repository access?
- Yes, within limits. Changed file paths reveal a lot: whether tests changed, whether migrations or auth code is involved, and which layers of the system the change touches. The generator turns that into targeted verification prompts. It cannot know your business rules, so the plan is a starting scaffold, not a finished QA document.
- Does the tool run my tests?
- No. It generates a Markdown checklist of what to verify. Running the checks — automated suites, manual flows, migration rehearsals — happens in your own environment, where the real fixtures and data live.
- What should I add to the generated plan manually?
- Exact commands, expected results, and the one inconvenient scenario the change is most afraid of: the concurrent update, the partial failure, the retry that runs twice. Those come from knowing the product, and they are where real bugs hide.
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