Introducing Open-Source AI Self-Driving Testing
Autonoma was built with a single conviction: there is too much waste and technical debt in software development, and most of it can be eliminated with AI. Today, we are convinced that the biggest s...

Source: DEV Community
Autonoma was built with a single conviction: there is too much waste and technical debt in software development, and most of it can be eliminated with AI. Today, we are convinced that the biggest source of that waste is verification: making sure your code works and that you're not shipping regressions. AI has transformed how we write code, but we're still testing with legacy tools and brute-force human effort, and that gap is only widening. Why existing approaches fall short Traditional frameworks like Playwright, Cypress, and Appium are brittle, noisy, and difficult to maintain at scale. AI prompting and click-and-record tools (including the previous version of Autonoma) require extensive setup, break easily, require proper test infrastructure in place and can't adapt to code changes by generating new coverage automatically. Browser agents and MCP-based tools can exercise individual features, but they don't deliver full application coverage, they don't manage test users or environment