Stanford CS229 I Machine Learning I Building Agents That Do the Work of Human Software Engineers

Lays out the structure of an agentic system that does software engineering work beyond coding, and where current tools fall short, which helps you scope what to build versus buy.

• videoStanford CS329A Self-Improving AI Agents | Part 8 | Agentic Evaluations and Long Horizon Tasks
• videoAI & Cybersecurity: Dan Boneh Interviews Nicolas Carlini
• videoStanford CS25: Transformers United V6 I From Next-Token Prediction to Next-Generation Intelligence
• videoStanford CS329A Self-Improving AI Agents | Part 9 | Future Research Areas

• videoHow AI Coding Agents Will Change Your JobY Combinator
• videoBest of 2024 in Agents (from #1 on SWE-Bench Full, Prof. Graham Neubig of OpenHands/AllHands)Latent Space
• videoTool, skill, or subagent? Decomposing an agent that outgrew its promptClaude

Checking sign-in…

Loading comments…