AE
AI Engineer
Episodes
- Ship Agents that Ship: A Hands-On Workshop - Kyle Penfound, Jeremy Adams, Dagger
- The AI Engineer’s Guide to Raising VC — Dani Grant (Jam), Chelcie Taylor (Notable)
- Strategies for LLM Evals (GuideLLM, lm-eval-harness, OpenAI Evals Workshop) — Taylor Jordan Smith
- Why you should care about AI interpretability - Mark Bissell, Goodfire AI
- Information Retrieval from the Ground Up - Philipp Krenn, Elastic
- Introduction to LLM serving with SGLang - Philip Kiely and Yineng Zhang, Baseten
- Robotics: why now? - Quan Vuong and Jost Tobias Springberg, Physical Intelligence
- Waymo's EMMA: Teaching Cars to Think - Jyh Jing Hwang, Waymo
- A2A & MCP Workshop: Automating Business Processes with LLMs — Damien Murphy, Bench
- Piloting agents in GitHub Copilot - Christopher Harrison, Microsoft
- Ship Production Software in Minutes, Not Months — Eno Reyes, Factory
- Beyond the Prototype: Using AI to Write High-Quality Code - Josh Albrecht, Imbue
- Software Development Agents: What Works and What Doesn't - Robert Brennan, OpenHands
- Devin 2.0 and the Future of SWE - Scott Wu, Cognition
- Your Coding Agent Just Got Cloned And Your Brain Isn't Ready - Rustin Banks, Google Jules
- Latent Space Paper Club: AIEWF Special Edition (Test of Time, DeepSeek R1/V3) — VIbhu Sapra
- Human seeded Evals — Samuel Colvin, Pydantic
- Building AI Products That Actually Work — Ben Hylak (Raindrop), Sid Bendre (Oleve)
- Rise of the AI Architect — Clay Bavor, Cofounder, Sierra w/ Alessio Fanelli
- AI That Pays: Lessons from Revenue Cycle — Nathan Wan, Ensemble Health