From end-of-life frameworks to sprawling polyglot stacks and never-ending CVEs, modernizing code at scale is one of the toughest and most necessary problems in engineering.
The keynote takes a clear-eyed look at where things stand and what moving forward actually takes — the rise of agentic AI, and why the future isn’t about bigger models so much as better data and tools. Generative AI writes new code well; modernizing existing code needs precision, and systems that know when not to guess.
