The Post-Agile Operating Model: How AI Changes How Teams Ship

Wed, 13 May 2026 00:00:00 +0000

The 7x Gap

Last month at the AI Engineer Summit, McKinsey presented findings from a survey of roughly 300 enterprises. The headline number was sobering: most organizations see only 5–15% productivity gains from AI coding tools. That’s it. After the licenses, the hackathons, the executive memos about “AI transformation.” A rounding error.

But buried in the same data was a different story. Top performers weren’t just doing slightly better. They were 7x more likely to have AI-native workflows spanning the entire development lifecycle, and 6x more likely to have restructured their teams around new roles. Their time to market improved 5–6x. One bank case study showed a 51% increase in code merges and a 60x increase in agent consumption after restructuring.

The Bottleneck Moved: What 10 Studies Say About AI Developer Productivity

Mon, 04 May 2026 00:00:00 +0000

The Pattern I Keep Seeing

Every few weeks, a customer asks me the same question: “We rolled out AI coding tools to 500 engineers. Why aren’t we shipping faster?”

I wrote about this a month ago. The data says AI coding productivity is around 10%, not 10x [1]. The post hit a nerve. But the responses split into two camps. One said: “Yes, that matches what we see.” The other: “So AI is useless for engineering?” Neither is right. The 10% number is real, but it’s a symptom, not the diagnosis. The diagnosis is more interesting, and more actionable.

schristoph.online

The Post-Agile Operating Model: How AI Changes How Teams Ship

The 7x Gap

The Bottleneck Moved: What 10 Studies Say About AI Developer Productivity

The Pattern I Keep Seeing