No More Small Systems, How AI May Bring Large System Problems to Everyone

Abstract

Once you figure out how to use AI to make your organization productive, you will soon find you have a whole new set of problems. While some of those problems will be novel thanks to LLMs, many of them are just the result of there being "more stuff". Good engineering practices can help you manage all that new code, but you may need to look to larger systems and organizations to learn how to deal with your found new scale.

Speaker

Adam Bender

Technical Lead for Enterprise Engineering @Google

Adam Bender is the Technical Lead for Enterprise Engineering at Google. He is also the editor in chief for Google's engineering best practices and was the author of the Testing Overview chapter in the O'Reilly book: Software Engineering at Google.

Read more

Date

Wednesday Nov 18

Share

Share Share

From the same track

Session

Understanding as a Deliverable: How AI Changes What Healthy Software Looks Like

AI is changing software development far faster than our engineering practices are evolving, and many teams are struggling to adapt their processes and tools to keep up.

Speaker image - Margaret-Anne Storey

Margaret-Anne Storey

Professor of Computer Science @University of Victoria, Co-Creator of the SPACE Framework and the Triple Debt Model for Software Health, a Canada Research Chair in Human and Social Aspects of Software Engineering