"I'm going to bed. Ship it when you're done." What I told my AI agent nine days before @aiDotEngineer Shanghai. One agent and I ran the site, agenda and materials from Seattle: 44 releases, 322 posters and stage cards. Thanks @swyx @SophiaXH25 @StandupPartners @Ninggao88

Around 1,600 people joined us in @aiDotEngineer Shanghai over two days and I’m still processing that. Seeing people share what they learned and who they connected with has been so rewarding. To everyone who helped make this happen, and everyone who came: thank you. So proud to have been part of this team @StandupPartners @aiDotEngineer @swyx

Keep the harness. Choose the model. @franciscojarceo of @baseten brings "Keep the Harness, Own Your Inference" to AIE CODE. Run familiar coding tools with open models on hardware you control. November 10, San Francisco. Workshop add-on required.

Robots won't learn to act from robot demos. They'll learn from video games. Takeaways from @PimDeWitte's @aiDotEngineer talk on @gen_intuition (spun out of @Medal_TV): - LLMs are turn-based. The real world isn't. GI's models take in frames and output actions continuously, in real time. - Many robots already run on gamepads. So games and robots share the same action space. No need to predict motor torques. - Medal sees 1.5T+ action tokens a month. Pim says that's more in half a day than frontier labs use in total for robotics. - Gamers are action-dense. High APM data beats sparse teleop for fine control. - Result, per Pim: one model plays games at a top level and controls 10+ robot types. Pixels in, actions out. - The moat is real action labels. You can't infer a pilot's rudder input from video. Anthropic bet on code. GI is betting on pixels.

"Verify twice before answering" added 48% to cost per ticket. Zero change in accuracy. That's on Anthropic's own slide. Lance Martin says "think step by step" and "be thorough" are debt now. If they're still in your system prompt, delete them. Well, test it first. It's one support benchmark. @RLanceMartin at @aiDotEngineer

a year ago at @aidotengineer Code Summit I spoke about Research Plan Implement, how to apply context engineering to your coding agents, and why every concept in AI is doomed to suffer "semantic diffusion". That talk has over 600k views and changed the way engineers everywhere think about building with AI On thursday next week at 5pm, I'll be doing the ultimate mash-up talk: "Twelve Factor Factories: Design Patterns for Agentic Engineering" should be a fun one, see y'all there 🙂

Let's talk about talking to your coding agents. 🗯️ Excited to be back at @aiDotEngineer in SF next week together with @ivanleomk and @_philschmid for a workshop on building your own remote coding agents that you can talk to!

I'm hosting a workshop at the @aiDotEngineer Code Summit next Tuesday in SF! 🌁 Power your favorite harness with open inference using @vllm_project 's Agentic API. We'll cover agentic inference, cloud agents, and agent swarms! Come by and say hi! 🤠

200K tokens before the user asks a question. Noyan Tokgozoglu of @OptiverGlobal on cutting context bloat with tool search, caching and better defaults. Bring your agent stack to AIE CODE. Nov 10 to 12, SF. Apply:

We are pleased to announce that @trq212 will be returning to AIE to share what's now and what's next! will be the last flagship AIE of the year, gathering the top 1000 agentic engineers in the world by invite only. Apply here: As usual all keynotes livestreamed and talks posted free on our youtube!

Diogo Almeida and the TypeSafe AI team are bringing Jev to AIE CODE. System One models and what people are building with them. November 10 to 12, San Francisco. Apply to attend: