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# Blog ​

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.