Series · 3 posts
A curated reading path (not a serialized course): deep-dives on AI agent engineering — from harness and the agent loop to loop design and cost control.
OpenAI's Michael Bolin breaks down the Codex CLI agent loop in depth: from prompt assembly, token inference, and tool execution, to context window management and auto compaction.
Loop Engineering replaces you as the person who prompts the agent. You design the system that does it instead.
A breakdown of the defense-in-depth used by Claude Code, Codex, and others: rule-based keyword matching, classifiers, input/output scanning, execution sandboxes, cross-session behavioral monitoring, and the role of system prompts and skills.