AI Engineer Conference 2025 - Code Track
AI Engineer 2025 conference happened recently and we can watch the code track on YouTube.
They’ve pretty interesting talks. Here is the list 👇
| Talk | Speakers |
|---|---|
| Opening Remarks | Swyx, Organizer, AI Engineer |
| Stop Building Agents | Barry Zhang, AI Engineer, Anthropic Mahesh Murag, AI Engineer, Anthropic |
| No Vibes Allowed: Solving Hard Problems in Complex Codebases | Dex Horthy, Founder, HumanLayer |
| Building a fast frontier model with RL | Lee Robinson, Head of DX, Cursor |
| From Code Snippets to Codebases: Then, Now, and What’s Next for Coding Evals | Naman Jain, Engineering, Cursor |
| Code World Model: Building World Models for Computation | Jacob Kahn, Research Scientist, Meta |
| Efficient Reinforcement Learning | Linden Li, Co-founder, Applied Computer Rhythm Garg, Co-founder, Applied Computer |
| RL Environments at Scale | Will Brown, Engineering, Prime Intellect |
| Agent Reinforcement Fine Tuning | Will Hang, Member of Technical Staff, OpenAI Cathy Zhou, Member of Technical Staff, OpenAI |
| From Vibe Coding To Vibe Engineering | Kitze, Developer & Creator, Independent |
| Proactive Agents | Kath Korevec, Engineering, Google Labs |
| Making Codebases “Agent-Ready” | Eno Reyes, Engineering, Factory AI |
| Amp Code: Next-Generation AI Coding | Beyang Liu, Co-founder & CTO, Amp Code / Sourcegraph |
| Using AI-Generated Kernels to Instantly Speed Up PyTorch | Natalie Serrino, Cofounder, Gimlet Labs |
| The Infinite Software Crisis | Jake Nations, Engineering, Netflix |
| AGI: The Path Forward | Eiso Kant, CEO, Poolside |
| Continual System-Prompt Learning for Code Agents | Aparna Dhinakaran, Co-founder & CPO, Arize |
| Hard-Won Lessons from Building Effective AI Coding Agents | Nik Pash, Creator, Cline |
| Benchmarks vs economics: the AI capability measurement gap | Joel Becker, Researcher, METR |
| Investing in the Future of Software Development | Scott Wu, CEO, Cognition Brandon Reeves, Partner, Lux Capital |
Not it is not time stamped yet. So you’ll need to fast forward and watch the things that you like
Happy learning AI!
