A dev machine setup script practice I carried across jobs for years took me months to modernize with GitHub Copilot last summer. This year, Claude Code wrapped it in CI in ninety minutes and added a new distro in under an hour. The speedup isn't just better models—it's the compounding effect of practices like testing and CI that AI helps you put in place.

Software has always been a subtractive art—chipping away at possibility until the right shape emerges. AI coding tools gave us faster chisels, but taste is still the thing that separates a statue from a pile of dust.

Risk-oriented enterprise teams may block AI coding agents (and agents in general) based on fear of the unknown while ignoring fundamental controls that actually reduce blast radius. The real risk isn't the agent—it's the policy friction that lets competitors ship while you debate.

For years my blog ran Bootstrap 3.2.0 despite needing almost none of it. A single day with Claude Code fixed that—and a whole lot more.

Startups scout ahead, big companies follow. The AI developer tools market is playing out the Innovator's Dilemma in real-time—and we're all just deciding between Quarter Pounders and Whoppers.

I want you to imagine the place that you live in.

I have a confession to make...

I created an OpenID Connect and OAuth spec graph in a Mermaid diagram in a GitHub repository.

LLMs didn't make code literacy optional—they raised the bar for what you need to learn so that you can effectively steer these AI assisted tools.

Asking an AI agent a question is a whole different ballgame from letting it take action.