Building the AI-first Developer Stack

Developers are feeling the friction. AI can help us write code faster, but our workflows haven’t really changed. We still copy and paste. We still switch between tools. We still review pull requests the same way we did before AI showed up. Sometimes that speed shows up as messy PRs and code that doesn’t quite fit the system.

I wanted something better. I’ve been building and refining an AI-first way of working where tools handle the repeatable tasks, understand the codebase, and connect with the systems I use every day. As an architect, this has helped me deliver features faster and reduce context switching without sacrificing standards. For me, the shift has been simple. I spend less time writing every line and more time guiding the tools with clear constraints. That’s what keeps the architecture steady while still moving faster.

Join me to see what this looks like in real projects. I’ll share what worked, what didn’t, and the small changes that made the biggest difference. You’ll leave with practical steps to improve your workflow, guide AI with intention, and move faster without creating long-term problems.