Stop Stuffing the Context Window: Why AI Coding Is Going Decoupled
Bigger context windows didn't fix AI coding agents. The real gains come from architecture: isolated subagent contexts, independent evaluators, decoupled tools.
The missing middle in LLM engineering
There is a specific kind of engineer I keep meeting. They shipped real machine learning. Feature pipelines, model training, offline evaluation, monitoring, the whole thing running in production with real consequences when it broke. They know why your validation set leaks, what happens when a feature distribution shifts under you,
The KISS Principle Was Never About Simplicity
On 2 August 2026, a deadline that thousands of engineering and risk teams spent two years building toward did not arrive. The EU AI Act's obligations for high-risk systems were supposed to switch on. They didn't.
Nobody Calls It AI Once It Works
Every generation gets its miracle. Then it gets used to it. There is a story that anyone who worked in computing before 1980 will recognize, even if the details differ. A program runs. Clean. First try. Someone in the room actually applauds. The program did something we would now consider
The Cheapest Inference Call Is the One You Never Make
Cutting frontier vision model costs with edge-side input gating.