Engineering × AI × Scale
Claude Code understands one repo at a time. Most teams have thirty. Microservices, shared libraries, infrastructure-as-code, frontend apps, data pipelines, all in separate git repos. Start Claude Code in one and ask about another, and it has no context. It doesn’t know the workspace exists. Here’s how I’ve been setting...
Production agentic systems decompose problems and use the right tool for each step. Most developers hand the AI the whole problem. That’s the gap. Teams...
Developers using AI estimate they’re 24% faster. A randomised controlled trial measured them at 19% slower. That’s from METR’s 2025 study. These were experienced open-source...
Most people use AI coding agents backwards. They hand the agent a problem and ask it to solve the whole thing. The agent reads, reasons,...
Principles are easy. Application is hard. I’ve written about intelligent Engineering principles and the skills needed to build with AI. But I kept getting the...
Principles are useful, but they don’t tell you what to practice. In my previous post on intelligent Engineering principles, I outlined the ideas that guide...
Same model, different tools, different results. If you’ve used Claude Sonnet in Claude Code, Cursor, Copilot, and Windsurf, you’ve noticed this. The model is identical,...