AE
AI Engineer
Episodes
- Why Agent Hype can fall short of reality – Joel Becker, METR
- Small Bets, Big Impact Building GenBI at a Fortune 100 – Asaf Bord, Northwestern Mutual
- Developer Experience in the Age of AI Coding Agents – Max Kanat-Alexander, Capital One
- The Unreasonable Effectiveness of Prompt Learning – Aparna Dhinakaran, Arize
- Making Codebases Agent Ready – Eno Reyes, Factory AI
- Amp Code: Next Generation AI Coding – Beyang Liu, Amp Code
- The 3 Pillars of Autonomy – Michele Catasta, Replit
- No More Slop – swyx
- The Infinite Software Crisis – Jake Nations, Netflix
- From Arc to Dia: Lessons learned building AI Browsers – Samir Mody, The Browser Company of New York
- Leadership in AI Assisted Engineering – Justin Reock, DX (acq. Atlassian)
- Paying Engineers like Salespeople – Arman Hezarkhani, Tenex
- Welcome to AIE LEAD - Alex Lieberman, Tenex
- Dispatch from the Future: building an AI-native Company – Dan Shipper, Every, AI & I
- AI Consulting in Practice – NLW, Superintelligent, @AIDailyBrief
- Code World Model: Building World Models for Computation – Jacob Kahn, FAIR Meta
- AI Kernel Generation: What's working, what's not, what's next – Natalie Serrino, Gimlet Labs
- Your Support Team Should Ship Code – Lisa Orr, Zapier
- What We Learned Deploying AI within Bloomberg’s Engineering Organization – Lei Zhang, Bloomberg
- Building in the Gemini Era – Kat Kampf & Ammaar Reshi, Google DeepMind