Testing A Firehose of AI-Code: A QA Practitioner Meetup

​Developers are shipping more code than ever, and a growing share of it is written by AI. What does that mean for the people who have to test it?

​Some say QA must accelerate in parallel with dev teams shipping more code than ever - but if thinking about what to test is also outsourced to AI, then who is ensuring that code does what it's supposed to (not merely what we think we asked for)? Join the discussion to help us suss out how QA teams can keep up with the latest trends, without surrendering your role as a gatekeeper for quality.

​We're hosting a conversation where we can all learn from each other: how you're using (or ignoring) AI tools, what's working, what's hype, and where you want to go next.

​We'll share results from an anonymous survey of attendees, hear a few short stories from people in the trenches, and have lots of provocative questions ready to spur a lively discussion!

​No product pitch in the main session. If you're curious what we're building, stick around for an optional 10 minutes afterward.

​Covlant.ai is changing the paradigm of software quality, moving beyond automation to impact. Our vision is an AI platform that helps ensure quality is easy to achieve with input from your whole team, providing shared system understanding of how code behaves and what changes impact, so enterprises can test smarter, move faster, and ship high-quality software with confidence.