Saturday, April 04, 2026

AI Bitter lessons?

questionable point of view, interesting as rhetorical point of view

"Essentially, we should avoid poisoning AI's native capabilities with our supposedly superior guidance, because it's not actually superior."

AI: building Coding Agent


a minimal local agent loop with:

  • workspace snapshot collection
  • stable prompt plus turn state
  • structured tools
  • approval handling for risky tools
  • transcript and memory persistence
  • bounded delegation
Components of A Coding Agent - by Sebastian Raschka, PhD

How coding agents use tools, memory, and repo context to make LLMs work better in practice

design of coding agents and agent harnesses: what they are, how they work, and how the different pieces fit together in practice. Readers of my Build a Large Language Model (From Scratch) and Build a Large Reasoning Model (From Scratch) books often ask about agents,