#claude-code

Factory: The Next Phase of Hybrid AI Development

Frontier cloud models write the code. Local models rank and triage the backlog. Here's how Factory automates the dirty work on a dedicated NUC.

Security Belongs Inside the SDLC, Not Bolted On

AI security agents like CodeMender and Claude Mythos are backstops. The real work is the in-flow layer of gates in front of them, and vendors are shipping it.

Paper Tigers and Pickup Trucks

Does winning the AI tools race today actually matter? History says probably not.

Context-Driven Development: Teaching Your AI Assistant How You Think

AI coding assistants are powerful, but they're blind to your intent. Context-driven development fixes that.

I Wrote About Changing Audiences. Then I Built Root.

Root is a development workflow framework for AI-assisted coding. Here's why I built it and what it does.

The Case for Universal AI Extension Standards: Skills and Extensions Should Be Interchangeable

Claude Skills and Gemini Extensions solve the same problem with incompatible formats. Here's why standardization would eliminate unnecessary cognitive load.

MCP Context Bloat: When Your AI Agent Gets Dependency Hell

Running too many MCP servers creates the same problems we learned to avoid with dependencies. Here's what we're doing about it.

Parallel AI Agents: Cursor 2.0's 8-Agent Approach vs Sequential Orchestration

Cursor 2.0 runs 8 AI agents in parallel for better results. But does the 25-35% token cost increase justify the speed? Analysis of parallel vs sequential agents.

Why I Use Claude Code (Even Though I Work at Google Cloud)

An honest look at choosing AI coding tools based on pricing models, use cases, and validation workflows - not just employer loyalty.