There’s a lot of hype and conflicting information surrounding AI in software development and testing. Are there any real productivity gains? Are those impressive stats real, or just part of a polished pitch for VC investors? Can we really improve our release cadence with AI? One thing is clear: AI has permeated all aspects of the software development life cycle (SDLC), including quality assurance (QA).
In this article, I’ll share insights from real-life commercial projects on what’s possible with AI in QA and which aspects of software testing can be really enhanced by this groundbreaking technology.