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Automated QA: Testing Your App the Way a Real User Would

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factory.ai
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Context

Factory's Automated QA adds evidence of application behavior to a proposed code change. After setup gathers information about the project's environments, authentication, user roles and critical flows, Droid can exercise those workflows and post a pass/fail table linking to screenshots, terminal snapshots and API traces. Reviewers can inspect what the encountered alongside the code. Automated QA workflow.

By default the workflow runs on every push, or it can be made an opt-in check triggered by a label, comment command or manual dispatch. A new commit cancels the in-progress run, and each pull request keeps one comment that updates in place. That ties the evidence to the changing proposal. The same project-specific testing can also run locally before a developer pushes changes. Execution options.

Terms in this piece · Glossary
  • AI agent — An AI system that doesn't just answer once but works toward a goal in a loop — taking actions, reading the results, and deciding what to do next.
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