AIE CODE 2025: AI Leadership ft Anthropic, OpenAI, McKinsey, Bloomberg, Google Deepmind, and Tenex

Alex Lieberman – Co-founder, @MorningBrew & @tenex_labs – Your Leadership Track MC!
Kath Korevec – Engineering, @GoogleLabs – Proactive Agents
Katelyn Lesse – Head of Engineering, Claude Developer Platform, @AnthropicAI – Evolving Claude APIs for Agents
Michele Catasta – VP of AI, @Replit – Autonomy Is All You Need
Lisa Orr – Engineering Leader, @Zapier – Your Support Team Should Ship Code
Steve Yegge – Engineering Leader, @Sourcegraph – 2026: The Year the IDE Died
Gene Kim – Author & Researcher, IT Revolution – 2026: The Year the IDE Died
Bill Chen – Product Manager, @OpenAI – Future-Proof Coding Agents: Building Reliable Systems That Outlast Model Cycles
Brian Fioca – Engineering, @OpenAI – Future-Proof Coding Agents: Building Reliable Systems That Outlast Model Cycles
Martin Harrysson – Partner, @McKinsey – Moving away from Agile: What's Next?
Natasha Maniar – Partner, @McKinsey – Moving away from Agile: What's Next?
Yegor Denisov-Blanch – Researcher, @Stanford – How to Quantify AI ROI in Software Engineering (Stanford Study / 120k Devs)
Itamar Friedman – CEO, @QodoAI – The State of AI Code Quality: Hype vs. Reality
Olive Song – Senior Researcher, @MiniMax__AI – Minimax M2
Kat Kampf – Product Manager, @Google – Research to Reality with Google DeepMind
Ammaar Reshi – Product Manager, @Google – Research to Reality with Google DeepMind
Asaf Bord – Engineering Leader, @NM_Financial – Small Bets, Big Impact: Building GenBI at a Fortune 100
Lei Zhang – Head of Technology Infrastructure Engineering, @Bloomberg – What We Learned Deploying AI within Bloomberg’s Engineering Organization
Samir Mody – Engineering, @browsercompany – From Arc to Dia: Lessons learned in building AI Browser
Max Kanat-Alexander – Engineering Leader, @CapitalOne – Developer Experience in the Age of AI Coding Agents
Arman Hezarkhani – Engineering, @tenex_labs – Paying Engineers like Salespeople: How Tenex Rebuilt the Incentive Stack for Modern Engineering
Justin Reock – Chief Architect, @DeveloperXM – Leadership in AI-Assisted Engineering
Dan Shipper – Founder, @every – How to build an AI-native company (even if your company is 50 years old)


*Timestamps*

00:00 Intro & Opening Performance
13:19 Opening Remarks (Alex Lieberman)
16:16 Katelyn Lesse (Anthropic): Building Powerful Agentic Systems with Claude
29:33 Michele Catasta (Replit): Building the Future of Autonomous Coding
54:08 Lisa Orr (Zapier): Empowering Support to Ship Code (Solving App Erosion)
1:10:06 Steve Yegge & Gene Kim: The Year the IDE Died & Vibe Coding
2:02:00 Bill Chen & Brian Fioca (OpenAI): Building Coding Agents & The Codex Harness
2:20:03 Martin Harrison & Natasha Maniar (McKinsey): Reshaping Software Delivery with Agents
2:41:45 Yegor Denisov-Blanch (Stanford): Measuring AI Impact on Developer Productivity
2:58:11 Itamar Friedman (CodiumAI): AI Code Quality - Hype vs Reality
3:19:30 Olive Song (MiniMax): MiniMax M2 Model for Long-Horizon Tasks
4:47:42 Kat Korevec (Google Labs): Proactive Agents (Project Jules)
5:03:24 Asaf Bord (Northwestern Mutual): GenBI & AI in Risk-Averse Enterprises
5:26:00 Lei Zhang (Bloomberg): Deploying AI in a 9,000 Engineer Org
5:44:15 Samir Mody (The Browser Company): Building an AI Native Browser (Dia)
6:02:07 Max Kanat-Alexander (Capital One): Scaling Output, Not Overhead
7:00:20 NLW (AI Daily Brief): Enterprise AI Adoption Status & ROI
7:15:01 Arman Hezarkhani (10x): Paying Engineers Like Salespeople (Story Point Compensation)
7:34:01 Justin Reock (DX): Effective Leadership in AI-Enhanced Organizations
7:52:14 Dan Shipper (Every): Building an AI Native Company & Compounding Engineering