Chrome removes XSLT on November 17 because almost nobody uses it. The decision rule behind that is worth borrowing, because it applies to every vendor you depend on.
Merges grew tenfold in five months and source control became the bottleneck. The lesson for other companies is to find which of your tools still assume a person is the user.
Developers have always picked libraries by taste and familiarity. Now an agent makes those calls at machine speed, and most companies have never written down what it should prefer.
TypeSafe's Jev returns a typed agent decision in under 500 milliseconds for a fraction of a cent. Here are ten places in an agent stack where that trade actually wins.
Shopify's return to native Swift and Kotlin looks like an AI story. It's really a lesson in why the efficiency layers in your stack may no longer earn their cost.
Working with AI feels like managing a fast junior developer. But you can only delegate what you can verify, and the agent never grows into someone who can check the work for you.
Google's case for Go is really a case against magic. When a model reads and rewrites your code, legibility stops being a matter of taste and starts showing up in the budget.
A popular claim says exotic languages save tokens when AI writes your code. On real tasks that edge disappears, and the number worth optimizing is the cost of being wrong.
AI slashed the cost of shipping features but not the cost of reliability, so it amplifies whatever your organization already rewards. Most reward the wrong thing.
