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Essays on agentic engineering, security, multi-agent systems, and production deployments.
Latest Posts
How to Choose the Right Model for Your Agent — June 22
A practical decision framework for model selection. Cascade routing, anti-patterns, and when to use local models.
Context Window Management for AI Agents — June 18
Sliding windows, summarization, mental models, and the 80/20 rule of context budget allocation.
Agent Loops: The Complete Guide — June 15
Three loop types, termination conditions, anti-patterns, and the 5 rules of production loops.
Cascade Routing: Cut API Costs by 66% — June 11
Use cheap models for simple steps, expensive models for complex reasoning.
The 3x Rule of Agent Costs — June 10
Why production agents cost 3x your prototype estimate.
Agent Memory: Mental Models — June 9
How agents remember across sessions using self-maintained expertise files.
The Verifier Pattern — June 8
A read-only verification agent that catches mistakes before production.
Choosing Your Security Level — June 7
Which L-level you need based on what your agent can access.
The 6-Level Security Ladder — June 6
How to stop your AI agents from destroying production. From ACIP to no-bash.
The Repo Is the Spec — June 5
Why every instruction your agent needs must live in a file.
Vibe Coding vs Agentic Engineering — June 4
The 5 hard rules that separate production from prompt gambling.
Why One Agent Is Not Enough — June 3
Context, capability, and reliability ceilings of single-agent systems.
What Is an AI Agent, Really? — June 2
LLM + Tools + Loop. The simplest correct explanation.
Posts are based on content from the Agentic Engineering Course. Each topic has a corresponding module with labs and exercises.