AI Engineer (@aiDotEngineer) on X (original) (raw)
The world's best engineers, founders, and researcher building with AI. Organizers of the AIE Summit, Code Summit, Europe, and the flagship SF World's Fair.
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The highly-anticipated MCP workshop with
@maheshmurag
is now live! Join
@AnthropicAI
Applied AI Engineer (+ creator of MCP)
@maheshmurag
in this full 2-hour workshop covering the Model Context Protocol, where he covers: 00:00 Introduction 00:35 What is MCP? 09:39 Building with

๐ Training Agentic Reasoners today's feature is
@willccbb
's triumphant return to the AIE stage RL track - now as part of
@PrimeIntellect
! A lot of agent builders are basically doing "RL by hand". He concisely explains current RL algorithms in one slide (!) but then argues
๐ Releasing the entire AI PM track! Great products aren't vibe coded, they're carefully managed. We gathered the best PMs in the world to discuss how they build products that win. ft. -
@raizamrtn
(
@gethuxe
, fmr PM
@NotebookLM
) -
@bbalfour
(Reforge, Hubspot) -
@ChrisLovejoy_
Claude 3.5 Sonnet shows a 64% success rate on pull request evals. Claude 3 Opus was at 38% It's particularly strong in RAG and has near perfect recall over its 200k context window
@alexalbert__
from
@AnthropicAI
๐ A 1 hour Masterclass on
@aisdk
, now free on YouTube for the first time ever! Covering: - Fundamentals of
@vercel
's ultra popular AI SDK - Clone your own Deep Research in 30 minsThanks to
@nicoalbanese10
for the incredible work in rerecording his
Want to learn more about Context Engineering? Start here. ๐ 12-factor Agents: Patterns of reliable LLM applicationsyoutu.be/8kMaTybvDUwnext featured talk on our Agent Reliability track is the fan favorite manifesto by
@dexhorthy
, who, among many other things, coined
For the first time ever:
@OpenAI
's official definition of an agent for AI Engineers; plus case studies, design patterns, & lessons learned from building Swarm, Operator, Deep Research, and beyond. This is the multi-million dollar talk you donโt want to miss with advice typically
Go beyond RAG without fine-tuning your model! In this talk from @klettphoebe of
@NormalComputing
, you'll learn about Extended Mind Transformers and how they select and attend to the most relevant information at each generation step. She demonstrates EMT's state-of-the-art

