What is Pie?
Pie is an AI-powered quality assurance tool that tests every change like a real user, catching functional and usability bugs before they reach your users. Unlike traditional testing scripts that rely on fragile selectors and pass/fail theater, Pie maps your real user flows and exercises each PR the way your customers will. It runs quietly in the background, reading every PR and interacting with your product as a human would—finding buttons by looking at the screen, not by matching DOM selectors. This means UI redesigns don't break your coverage, and you catch issues like broken checkout flows or zero-dollar renders that a status code 200 would miss.
Pie opens a PR with the fix ready for review, turning bug reports into fix PRs. You wake up to actionable solutions, not customer complaints. It covers both functional and usability bugs, providing three real, reproduced issues instead of hundreds of false positives. This approach eliminates the maintenance burden of selector churn and script updates, as Pie adapts to UI changes automatically.
Use cases include catching runtime bugs that code readers can't see, such as rendering, state, and flow errors. It complements deterministic checks on critical paths and works alongside your existing test suite. Pie is ideal for teams tired of explaining why checkout is broken on iOS or why a clean diff still broke production. It runs like a Roomba for product quality—silently, continuously, and without manual effort.
Technical details: Pie uses AI to visually identify UI elements, simulating real user interactions. It requires no test scripts to write or maintain. Every finding is reproduced before it reaches you, ensuring accuracy. Pie integrates with your CI/CD pipeline, running on every PR to catch issues early. It is not a competitor to code analysis tools but a complementary layer that catches runtime bugs. With Pie, you ship features, not bugs.
Use Cases
Key Features
AI powered testing real user flow mapping visual element detection automatic UI adaptation functional bug detection usability bug detection fix PR generation reduced false positivesWho is it for?
QA engineers, software developers, product managers, engineering teams, e, commerce companies, SaaS companies
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