Organizational Change
Ten Things High-Performing AI Teams Actually Do
The best study we have says AI made experienced developers slower — and they couldn't feel it. Speed was never the leverage. Here's what the teams winning with AI actually do differently.
Here We Go Again: How to Treat Your Data as a Threat Until You Prove It's Safe
The most capable AI model on the planet got pulled offline by three words hidden in a payload. That's a confused deputy attack, and we've been fighting it under different names for thirty years.
Shifting Constraints
Constraints never disappear, they just shift where they show up. AI has torn down where we used to expect them, and where they're showing up may be the difference between teams succeeding or merely keeping up.
The Bus is Leaving...
Government agencies are spending years deploying yesterday's AI tools while agentic development compresses delivery from months to days. The gap isn't linear anymore. It's exponential.
Open Source Is Struggling and Open Source Might Be the Answer
The social construct is fraying. The principle is thriving. The distinction between the two is the only thing that matters.
Prod is the only Test that Matters
Organizations optimize for the risk of change while silently accruing the far greater risk of irrelevance. The practitioners solved this decades ago. The structure just won't listen.
High-Performing Teams Were Always Agentic
The playbook for building great AI systems is the same one we've ignored for human teams since 2009.
The AI x Workflow Conundrum
We love talking about AI in extremes; we focus on total disruption, mass unemployment, or the rise of robot overlords. We spend endless cycles on financing and existential risks, often overlooking the practical reality of how this technology actually shows up at work today.