Laurie Voss

Coding agents produce 741% more code, and only 30% more software ships as a result. The gap is human review: people top out around 400 lines an hour and agents are not slowing down. This talk is for engineering leaders trying to decide what to do about that.

You shipped an AI agent. It works great on your test queries. But how do you know it works on your users' queries? How do you know a prompt change that fixes one thing didn't break three others? And when a new model drops next quarter, how do you know whether to upgrade? If your answer to any of these is "I run it a few times and check," this workshop is for you.

Coding agents produce 741% more code, and only 30% more software ships as a result. The gap is human review: people top out around 400 lines an hour and agents are not slowing down. This talk is for engineering leaders trying to decide what to do about that.

At LlamaIndex we see a lot of agents built every day, and we've got a sense of what works and what doesn't. We've distilled those learnings down into a series of patterns and best practices for building real-world, production agents, and we're here to share them.

Over the last 30 years of web development a predictable cycle has appeared in the adoption, commoditization and eventual abstraction of major new technical trends in web development.