Articles

Every executive wants AI to magically modernize their 10 million line monolith. It won’t. Here’s what you actually need, and why you’ve been asking the wrong question for the last two years.

Your heaviest AI users are probably your best people. That’s the easy part. The harder question, the one that actually matters, is who still is not really using it. Go find out. It’s going to be an awkward conversation.

You gave your engineers AI tools and skipped the governance conversation. Now your PRs are tripling, your review queue is drowning, and nobody can tell the good code from the generated garbage. You did not adopt AI. You built a slop factory.

Nathan joined a scale-up as CTO with a mandate to hire ten engineers. He hired zero. Twelve months later, he and one existing associate engineer had decomposed the monolith, automated deployments, and outshipped the original plan.

You called to talk about AI adoption. But you do not know your value streams, your engineers get thirty minutes a week to learn, and you are still defending manual QA that produces no ROI. That is not an adoption problem. That is a leadership problem you built and now own.

Your 2025 AI decisions shape your 2028 reality. Learn why waiting for clarity is the riskiest strategy and how to build for capabilities that don’t exist yet.

Technology executives: the skills that got you here won’t keep you here. A frank letter about adapting your leadership for the AI-native era.

VPs of Engineering: your playbook is obsolete. Here’s how AI changes everything about how you lead, measure, and develop your organization.

Engineering directors have 18 months to prove they can transform teams for AI. The market in 2028 will have directors with proven transformation track records. Will you be one of them?

Mid and late-career developers: AI isn’t here to replace you. But developers who use AI will replace those who don’t. Here’s how to adapt.