Open Source · Free forever

Testing infrastructure
for the AI era

Open-source AI skills that find bugs, generate test cases, and help teams ship with real confidence — not coverage numbers.

New · Open for comments

We published the Manifesto for
Confidence Engineering

Perfect software isn't achievable — but confidence is. The manifesto calls out what most engineering teams quietly know: that code coverage percentages, unit test counts, and green CI pipelines are not quality. They're activity. The industry has been measuring the wrong things, and we wrote down why.

Every team that has ever shipped a critical bug had passing tests. The goal isn't more tests — it's knowing enough to ship with confidence.
Open source · MIT licensed

Open-source automated bug detection, persona feedback, and test case generation using 33+ specialized AI testing agent profiles. OpenTestAI analyzes application screenshots, network logs, console logs, and DOM/accessibility trees — selects relevant virtual tester profiles based on artifact content, then runs each tester's specialized prompt to surface high-confidence bugs.

Mode 1
🐛 Bug Detection
Find high-confidence bugs using 33 specialized AI skill profiles, each with a focused domain.
Mode 2
👥 Persona Feedback
Generate diverse user persona feedback panels for UX and product insight.
Mode 3
🧪 Test Case Generation
Create comprehensive, prioritized test case suites for any page or flow.