Writing
Production AI Engineering & Systems Notes
Practical explanations and opinions for engineers building with AI.
Building a production AI system?
If this writing is useful, the consulting might be too.
I help founders and engineering teams turn agent prototypes into production systems — agent architecture, enterprise MCP integrations, RAG evaluation, and high-scale backend advisory.
-
AI systems architecture
Prompt Caching Architecture for AI Coding Agents
Why LLMs are stateless, how prompt caching serves as Redis for GPUs, prefix matching rules, and the prompt architecture pattern that cuts AI bills by 90%.
-
AI agent architecture
How CLAUDE.md Works in AI Agent Harnesses
Why Anthropic doesn't put project rules in the system prompt, prompt caching economics, prompt injection defense, and agent harness architecture.
-
Engineering careers
Coding Is Dying. What Comes Next for Engineers
A reality check and wealth playbook for software engineers in the AI era—why leverage is shifting from syntax to systems orchestration and ownership.
-
Model economics
DeepSeek vs Claude: Cost, Agents, and Trust
Why Chinese open models are commoditizing cognition while Claude and OpenAI continue to lead on agents, trust, and enterprise defaults.
-
AI infrastructure
How Cursor Router Does LLM Model Routing
A plain-English explanation of complexity scoring, model strengths, and why routing beats always choosing the largest model.