@nate_512Stanford just dropped a free course on building self-improving agents and it skips the basic API wrapper fluff to dive straight into frontier reasoning mechanics. The whole curriculum centers on self-correction, which is arguably the most critical skill in AI right now if you want systems that actually learn from their own actions. The syllabus hits the specific stack used for these autonomous systems: test-time compute, verifiers, Constitutional AI, RL, planning, memory, tool execution, and architectures for deep research agents. It is not just theory either. The class is highly project-based so you watch the lectures and build alongside the researchers teaching them. By the end you walk away with a functional self-improving architecture rather than just notes. The full CS329A Self-Improving AI Agents playlist from Stanford Online is available now for anyone ready to get into the weeds of how these agents actually work.

@nate_512Stanford just dropped a free course on building self-improving agents and it skips the basic API wrapper fluff to dive straight into frontier reasoning mechanics. The whole curriculum centers on self-correction, which is arguably the most critical skill in AI right now if you want systems that actually learn from their own actions. The syllabus hits the specific stack used for these autonomous systems: test-time compute, verifiers, Constitutional AI, RL, planning, memory, tool execution, and architectures for deep research agents. It is not just theory either. The class is highly project-based so you watch the lectures and build alongside the researchers teaching them. By the end you walk away with a functional self-improving architecture rather than just notes. The full CS329A Self-Improving AI Agents playlist from Stanford Online is available now for anyone ready to get into the weeds of how these agents actually work.