AI is changing how people learn, build, and launch products on Ethereum. What does that mean for builders? Austin Griffith explores how new tools help individuals and small teams turn ideas into working apps, why understanding Ethereum still matters, and how the focus is shifting toward deciding what to build and making something people want to use. Austin will also outline the agenda for the day.

How are Ethereum devtool builders funding their work and adapting their tools to AI? Hosted by EF Builder Enablement, this session starts with a short panel, then opens the conversation to the room. Austin Griffith will guide a group activity where builders share experiences, discuss challenges, and connect with others. It is also a chance for EF to hear directly where builders need support.

what data leaks when you make a transaction with different wallets and where does it leak and how can it be manipulated

LLMs wake up with a stale picture of Ethereum. eth-evals measures it (242 tasks, 14 models, 58–82%). ethskills.com patches it. Then I gave the skill to my agent, clawdbotatg, and let it write, audit and deploy 14 dapps and a ~$67K staking contract on Base with no human reading the code. Most of this talk is the post-mortem: it leaked its own key twice, the audit pipeline rubber-stamped things it shouldn't have, and here's what I changed.