AI-assisted teams cannot rely on the diff alone anymore. As code gets cheaper to produce, every pull request needs explicit proof that the change is …
Weekly AI ROI claims are usually theater. Engineering productivity is a leading indicator. Measure AI as a delivery-system change.
AI tools execute your specs literally. Every gap in your specification becomes a gap in the output.
At each stage of AI-assisted development, the skill holding you back changes. Here's how to identify which bottleneck you've migrated to and what to …
AI made implementation cheaper, but it increased the management load everywhere downstream: review, predictability, flow, and developer experience.
AI coding tools don't just change how you work. They force you to rethink what makes you valuable. Here's what that journey actually looks like.
Most teams adopted AI dev tools without adopting any practices around them. That plateau has a name, and nearly every team is stuck on it.
The junior dev metaphor leads teams to waste AI tools on the wrong work. A better mental model changes everything about how you delegate.
Every developer has a delegation boundary with AI tools. Where yours sits tells you more about your progression than which tools you use.
85% of developers use AI tools. Most teams have no strategy for them. Here's a five-stage framework for what adoption actually looks like — and why …
Most devs use AI tools now. Org productivity hasn't moved. I built a system to fix that, and here's what actually worked.