Innovation Matters
Essays on AI, developer tools, and thoughtful software.
Your agents should learn for the organization
Agents learn while doing work, but most of what they discover disappears with the conversation. Organizations need a way to turn those discoveries into verified, current knowledge.
When organizations can build faster than they can agree
AI makes building software dramatically cheaper. As working solutions emerge across the organization, the ability to converge on a shared direction becomes the next bottleneck.
Every team needs a knowledge interface
For years, organizations invested in intranets, enterprise search, wikis, metadata, taxonomies, knowledge graphs. None of this is new, so why does it suddenly feel urgent again? Because the audience changed.
"Coding is solved" misses the point
Every few weeks, someone declares that coding is solved. If they mean turning a well-specified problem into runnable code, they're increasingly right. But was writing runnable code ever the whole problem?
Inference efficiency is about protecting attention
Every unnecessary step an AI agent takes spends reasoning capacity on the tooling. Inference efficiency keeps its attention on the user's problem.