Kagura AI is an autonomous QA testing platform that uses AI agents to handle software testing automatically. Instead of writing manual test scripts, users can paste their URL and describe what to test, and Kagura's AI handles the rest.

The platform auto-generates tests by exploring apps like real users and creating comprehensive test scenarios automatically. It features tests that evolve and adapt to UI changes by understanding intent rather than relying on brittle selectors. Kagura also provides intelligent evaluation that doesn't just check if elements exist but evaluates if flows make sense, finds edge cases, and spots UX issues.

Kagura works by having users paste their URL and describe what they want to test. The AI agents then generate, execute, and evolve QA tests automatically, eliminating the need for manual scripting or recording. The system understands intent rather than relying on static selectors that break with UI changes.

The benefits include getting comprehensive test coverage in minutes instead of weeks, eliminating maintenance overhead, and allowing teams to ship faster. Use cases include fast-moving startups that need to ship features daily without breaking production, dev agencies managing multiple client apps, solo developers who can't test everything manually, and lean engineering teams that want to focus on building rather than testing.

The product targets fast-moving startups, development agencies managing multiple client applications, solo developers, and lean engineering teams who need automated QA testing without additional headcount.