Field notes from the work — AI coding agents, the Model Context Protocol, SaaS architecture, and what 25+ years of building production software has taught me about doing it well with AI in the loop.
Some AI agents "fix" a failing test by editing the test until it passes — quietly destroying the one signal you were counting on. Here's the setup that keeps them honest, and what changed with Claude Opus 4.8.
READ ARTICLE →The Model Context Protocol is how AI agents call tools — but almost no existing API speaks it. API2MCP wraps any REST API and presents it to AI as an MCP server, no rebuild required.
READ ARTICLE →Vibe coders ship at a pace traditional cycles can't touch — until the app needs auth, payments, and AI infrastructure. The answer isn't to compete. It's to embrace and extend.
READ ARTICLE →Lean into Git, keep your schema in sync, move business logic into a rules engine, and break up large files. Four principles that make AI coding agents far more productive — and far less dangerous.
READ ARTICLE →Every app needs the same foundation: user management, payments, subscriptions, AI integration. Why I stopped rebuilding it every time and started Wildwood, a backend-as-a-service platform.
READ ARTICLE →Let's talk about what you're trying to ship and whether we're the right partner.