AI Engineer

Frontier AI, all in one place. The labs defining the state of the art are coming to AI Engineer World's Fair: → OpenAI → Anthropic → Google DeepMind → Amazon AGI Labs → Z.ai → MiniMax This is the room where the people building the models meet the people building on top of them. One program, six frontier labs, and thousands of engineers shipping real systems. June 29 – July 2 · San Francisco. Register: https://lnkd.in/ee3ZGcuJ #AIEngineering #FrontierAI #AIEWF

16 platinum sponsors. One World's Fair. We're proud to welcome the teams building the tools behind production AI to AI Engineer World's Fair: Akamai Technologies · Arize AI · Amazon Web Services (AWS)· Braintrust · Bright Data · Browserbase · Docker, Inc · Neo4j · Oracle · PayPal · Qodo · Reducto · Sonar · Together AI · Unblocked · WorkOS From the data layer to observability to deployment, this is the stack our engineers ship on. Thank you for backing the builders. June 29 – July 2 · San Francisco. Register: https://lnkd.in/ee3ZGcuJ #AIEngineering #AIEWF #AIAgents

For the third year running we are honored to have Microsoft as presenting sponsor. Microsoft creates platforms and tools powered by AI to deliver innovative solutions that meet the evolving needs of our customers. The technology company is committed to making AI available broadly and doing so responsibly, with a mission to empower every person and every organization on the planet to achieve more.

🆕 New Engineer Orientations Based on great feedback from AIE Europe, we are hosting a series of NEOs for people new to AIE and have any questions about making the most out of AIEWF! join us today OR tomorrow online - link below ask swyx anything!

Group discounts for AI Engineer World's Fair are now live! Bring 5 and save 10%. Bring 10 and save 15%. Bring 15+ and save 20%. June 29 to July 2, San Francisco. https://lnkd.in/gqqcpJfi

We're excited to announce the AI Engineer Code Summit! Read on for a bit of context; apply to attend at the link in our reply. AI coding tools and agents have redefined how we develop software. AI Engineering teams can move so fast that the message is clear: if you're not using AI code to build your software, then from the perspective of those who are using them, you're literally stuck in the past. This invite-only event brings together the top AI Engineers & AI Leaders who are actively using the latest in AI coding tools in their personal workflow and in their organizational structure. As users and innovators of frontier technologies & processes, we will connect to exchange stories, experience, and lessons with each other to drive our collective industry and profession forward. Anchoring the hallway track are talks from the top companies, AI Engineers, AI Architects, & founders/CEOs who will share their own experience, lessons, and advice for an advanced technical audience. Once again we have a "no vendor talks" policy to ensure maximum value transfer. Our stage will feature the top AI Coding builders from: - Google DeepMind - Anthropic - OpenAI - Amazon - Microsoft - Cursor - Cognition - Factory - Conductor - Augment Code - Amp Code - Cline - Goldman Sachs - McKinsey - MIT - Stanford - Cornell - & more! CFP also open until Sept 15, see link in reply. Additionally, the AI Engineer Expo will not only feature the top companies who are supplying AI Engineers with the latest tools, agents, and workflows for AI Code, but will also feature a diverse group of companies innovating in other areas. This expo will be a tour de force of productivity and innovation where the bleeding edge meets companies who have proved (or are forging!) product/market fit. Just like our February summit on "Agents at Work", this event has 2 tracks: AI Engineering (hands-on-keyboard) and AI Leadership (AI Architects, VPs, & other AI executives). These tracks are held on 2 separate days -- invitees can purchase one or both tracks. Summit is our highest-signal, invite-only event. Attendance is limited to 500 per track. Apply today at the link in the replies to connect with your industry peers and leaders to take your personal and company code to the next level.

We are hiring! To support our ambitious growth plans in 2026, we are seeking to expand our founding team with a Developer Marketing and Community Manager. Please apply via the link: https://lnkd.in/enmQNJPz

Last week I introduced LabMind, a real-time AI co-scientist to support researchers with their experiments: https://lnkd.in/gGUYSUR7 You can now watch my talk from AI Engineer conference in San Francisco where I did a live demo of the platform and presented some experiments where I used LabMind assistance. If you are curious to try LabMind and want to collaborate on this project don't hesitate to fill this sign-up form https://lnkd.in/dJfmYgwy Talk: https://lnkd.in/d8afripW #AIforScience #ScientificResearch #LabAutomation #DigitalTransformation #OpenScience #Innovation #AI

CFP is now open for AIE Paris! https://lnkd.in/dJw8H2a6 We're looking for practical applications and advancements in AI engineering, with a focus on open source models, AI agents workflows, and high-performance inference. Deadline Aug 1. Send us your talk proposal today!👇

One weekend I started playing around with self-improving agents. I tried imagining a world where an agent will be able to build itself and improve its own prompts by running and evaluating itself. I played around with a RAG pipeline we have as part of Traceloop's docs, and see if I can improve its performance without doing anything - just let the agent iterate and improve the prompt by itself. The results were astonishing - the agent was able to improve the performance of our RAG pipeline by almost 200% - without me having to do anything (well, except for having to build all the evals, and write the prompt improving agent - but you get my point). And so I realized - prompt engineering is dead. It wasn't engineering, really. It was just us manually doing what AI can now do automatically. Think about it: we've been spending hours crafting the perfect prompts, tweaking words, adding examples, adjusting tone. But that's exactly what these self-improving agents excel at - iterating through variations, testing performance, and optimizing based on results. The future isn't about becoming better prompt engineers. It's about building systems that can engineer their own prompts. Systems that can evaluate their own performance and continuously improve without human intervention. I gave a talk about this at the AI Engineer World Fair last month in SF - about how to build such agents and what this means for the future of building with AI. Check it out in the comments below.