Blog
Insights for engineering leaders
Practical thinking on AI adoption, engineering velocity, and building teams that ship.
What Enterprise Teams Get Wrong About AI Adoption
Compliance theater, tool mandates, and ignoring the early adopters. Three patterns killing AI adoption in enterprise engineering teams.
Dan McAulay
Velocity Engineering: Why AI Adoption Alone Won't Make You Faster
Most teams adopt AI tools and expect to ship faster. They don't. Because speed in one part of the pipeline just exposes how slow everything else is. That's why we built a practice around velocity engineering.
Dave O'Dell
Two Engineers, AI Assistants, and the Output of Twenty
How App Vitals operates as a 2-person team with AI force multiplication — and what that means for how we think about engineering velocity.
Dave O'Dell
The Context Problem: Why AI Can't Help Teams That Don't Document
AI tools are only as smart as the context they have. Without architecture docs, coding conventions, and shared patterns, your AI assistant is just a fancy autocomplete.
Dave O'Dell
Why Tool Rollouts Fail (And What Works Instead)
Top-down AI mandates fail. Champion-based adoption works. Here's the 12-week pilot model we use to make AI stick.
Dan McAulay
Your CI Pipeline Is the New Bottleneck
AI writes code 3x faster, but if your CI takes 45 minutes, you just moved the bottleneck. Here's where the real velocity gains are hiding.
Dave O'Dell