The Frontier of Agent Memory: From Recall to Experience
Part 3 of a 3 part series post about AI Agent memory architecture.
Welcome to Middle Loop Engineering
Where engineering rigour goes now that AI writes the code
Harness Engineering: The Outer System That Makes Agents Reliable
Building a good harness is what separates a good agentic implementation from a great one.
Write Skills Like Workstations, Not Prompts
Claude Code skills work best when you treat them as workstations, not prompts: folders with scripts, gotchas, templates, and progressive disclosure that manage the agent's attention budget at runtime.
Ship Prompts Like Software: Regression Testing for LLMs
Because "it seemed fine when I tested it" is not a deployment strategy.
Part 4 of 4: Evaluation-Driven Development for LLM Systems
Four Ways to Grade an LLM (Without Going Broke)
Your evaluation technique should match the question you're asking, not your ambition.
