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Essays on agentic engineering, security, multi-agent systems, and production deployments.
LLM + Tools + Loop. The simplest correct explanation.
Context, capability, and reliability ceilings of single-agent systems.
The 5 hard rules that separate production from prompt gambling.
Why every instruction your agent needs must live in a file.
How to stop your AI agents from destroying production. From ACIP to no-bash.
Which L-level you need based on what your agent can access.
A read-only verification agent that catches mistakes before production.
How agents remember across sessions using self-maintained expertise files.
Why production agents cost 3x your prototype estimate.
Use cheap models for simple steps, expensive models for complex reasoning.
Posts are based on content from the Agentic Engineering Course. Each topic has a corresponding module with labs and exercises.
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