While exploring AI-powered test automation, I came across different approaches from platforms like mabl, Testim, and Functionize. mabl focuses strongly on AI-assisted testing and self-healing, while Testim stands out with smart locators and test stability. Functionize takes a strong approach toward natural-language test creation and automated maintenance.
I found all three approaches interesting, but I was looking for something that could connect more of the testing workflow rather than focusing mainly on test creation or maintenance.
While comparing these approaches, I came across X360 AI Tech as well. I found it interesting because it looks at the testing process more as a whole rather than focusing on just one part of automation.
For the kind of AI-assisted testing workflow I was looking to understand, X360 felt like a better fit, especially because it brings these areas together instead of treating them as completely separate tasks.
The more I explore this space, the more I feel AI-assisted testing is not just about creating tests faster, but keeping the right tests useful as the application evolves.
source & further reading
dev.to — original article
The Bun rewrite proves 'never rewrite from scratch' was always a cope
The Cognito war stories: four ways it breaks an MCP server, and the fix for each
MCP C# SDK Hybrid Sessions: Serve Old and New Clients on One Endpoint