AI Dev 26 x SF | Tom Howlett: Can LLMs Generate Enterprise Quality Code?

We all know how fast it is to create an app with modern AI agents but how do we ensure the code is reliable, maintainable and secure enough to be used by enterprises? In this talk, Sonar's Tom Howlett shared a benchmark from their testing of 35 (and growing) of the latest and highest-performing large language models and showed how they compare not just on task completion but on the quality of the code they create. Attendees saw that models are not the same and that some produce more than 2x the issues of others. Once you understand your model how do you protect yourself from its weaknesses? Tom demonstrated how devs can integrate AI Agents with deterministic static analysis to ensure enterprise-level quality without killing the AI productivity gains.