Context-window

Some companies have started grading developers on how many AI tokens they consume. It's the latest in a long line of well-meaning productivity metrics that reward exactly the wrong behavior—and this one quietly degrades code quality, burns money, and teaches your most capable engineers to sabotage the very thing leadership is trying to accelerate.

The Model Context Protocol promised universal LLM tool integration. Then developers hit the context wall. Here's what went wrong and what's replacing it.

Large context windows are (little white) lies. Here's how to architect your code, structure your prompts, choose your tools, and even pick your programming language to maximize what you can accomplish within the brutal reality of effective token limits.

With AI writing over 90% of boilerplate code, the software developer's job has fundamentally changed. This article explores why the remaining 10%—architecture, context management, and organization—is the most difficult, high-leverage work that AI can't yet touch.