Wednesday
Room 1
09:00 - 10:00
(UTC±00)
Talk (60 min)
Keynote: The dangers of probably-working software
Software used to be predictable. You could trace the logic, reason about behaviour, and prove the results. Better tools have made us faster and allowed us to build more with less effort. But the further we step away from the code, the less control we really have.
This is not a new problem, but it's more relevant than ever. Generative AI has dropped the barrier to entry dramatically, and it's never been easier to produce probably-working software with a single prompt.
So how do we avoid sleepwalking into brittle, opaque systems that only appear correct? When is "good enough" actually good enough? And when the result always looks right, how do we know when to step in?
Damian Brady
Damian is part of Developer Advocacy team at GitHub and loves all things DevOps.
Formerly a Cloud Advocate at Microsoft for 4 years, and prior to that a dev at Octopus Deploy (https://octopus.com) and a Microsoft MVP, Damian has a 20+ year background in software development and consulting in a broad range of industries.
Damian regularly speak sat conferences, User Groups, and other events around the world.
Most of the time you'll find Damian talking to developers, IT Pros, and data scientists to help them get the most out of their DevOps and MLOps strategies.