Matt Asay

App creation is up but app adoption is down. Turns out success in the marketplace requires marketing, documentation, and a lot of work that isn’t software development.

AI's biggest gains won't come from bolting agents onto old workflows. They'll come from pairing people who don't feel bound by those workflows with people who know why they exist.

Our compilers forced us to write clearly. Our coding agents won’t do that.

The European AI company has a chance to succeed as an enterprise-controlled AI layer that isn't dependent on someone else's model.

When an agent does something, the whole company should learn from it, so that every developer gets access to the shared insights and successes.

A cloud outage is a bigger problem if you don't learn from it. Increasing cloud failures are exposing critical weaknesses in enterprise architecture. Here are 3 things to do about it.

The biggest question now is which workflow will help you get something into production fast, not which cloud provider to use.

AI can handle messy SRE incidents, but only if we give it strict guardrails and keep humans in the driver's seat when things go wrong.

Short answer: None of them. You’re better off starting with the least-expensive model that can do the job. The reliability of your own company's data, workflows, and integrations plays a far bigger role than the model you choose.

The reliability of your company's data, workflows, and integrations plays a far bigger role than the model you choose.