Most organizations have purchased AI developer tools. Most are disappointed with adoption. The problem usually isn't the tool, it's that we treat AI adoption like a software rollout when it's actually a behavior change problem. This talk draws on lessons from leading Developer Experience for 1,500+ engineers at Zoox, where the mandate wasn't just to provide AI tools but to make them stick. You'll hear a candid framework for diagnosing why adoption stalls, how to build internal feedback loops that surface real friction, and how engineering leaders, not just platform teams, are the critical lever in whether AI becomes a habit or a shelfware subscription.
Speaker
Jatin Aneja
Leading Developer Experience @Zoox, Previously Director of Site Reliability Engineering @AppLovin
Jatin Aneja leads Developer Experience at Zoox, where he is responsible for developer productivity and engineering efficiency across a software organization of more than 1,500 engineers. He leads Zoox Intelligence, an initiative applying Large Language Models (LLMs) across engineering, operations, customer support, and autonomy enabling teams across the company to build and deploy AI-powered agents that improve engineering workflows, operations, and knowledge discovery.
His work focuses on building developer efficiency solutions and AI-powered tools that remove friction from the software lifecycle and help engineers move 10X faster.
Prior to Zoox, Jatin was Director of Site Reliability Engineering at AppLovin, where he built and scaled infrastructure supporting several top-grossing mobile games and advertising systems.
