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