Ivan Barajas, our CEO & Co-Founder, shares his perspectives on AI's role in software testing. 🤖✨ While some believe AI will replace testers, and others think it will augment their work, MuukTest advocates for a "Human-managed-AI-agent" model. Learn how this approach ensures foolproof testing and strategic collaboration. 🤝 #softwaretesting #AI #qualityassurance #MuukTest #testing
We’ve got a couple of AI research grants from the National Science Foundation. Here’s how we’re thinking about AI in the software testing space: There’s a big debate about the dominant “form factor” of AI in Software Testing. There’s the AGENT model - which believes AI is going to replace QAs/testers one-for-one. Like AI BDRs for sales. There’s the COPILOT model - which believes AI is going to help QAs/testers do their work more efficiently. Like copilots for software development. Then there’s the “AI FEATURES” model - which believes AI is going to simply augment the tools we already use to make those tools work faster. Obviously, there’s some overlap here. Our take at MuukTest is a little different: We believe that Software Testing is extremely important. Companies lose a ton of money and customer trust over bugs, and great test engineers are strategic partners to the business… not “just testers.” This means any application of AI in Software Testing *must* be foolproof. It can’t “just kinda” work. So, we are approaching AI in Software Testing with the “Human-managed-AI-agent” model. We continue to build advanced AI capabilities. But we don’t just let those capabilities loose on our customers. Instead, we pair our AI capabilities with a QA Test Architect—an expert who manages our AI and works with our customers fractionally to ensure their success in building a complete automated test suite and integrating it into their development process. Do we wish we could do everything with *just* AI? Of course. Is that feasible for customers who want to trust their automated test suites? Far from it.
