TryCase

Run AI-assisted end-to-end checks on pull requests

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Meet TryCase

TryCase runs end-to-end checks against the application flows affected by a pull request. After a repository is connected, the service reads changes, identifies relevant user journeys, and interacts with the application to inspect what happens. Results return to GitHub with a verdict, recorded walkthrough, and screenshot for the reviewer to assess.

The workflow is intended to reduce the effort of writing and maintaining browser tests for routine changes while providing evidence before a merge. Teams can use the service's model access or supported external AI credentials, including an OpenRouter key or a compatible ChatGPT subscription. Claude subscription support is listed as forthcoming. Reviewers still decide whether the observed behavior is acceptable to ship.

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