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.
Why are many still underwhelmed by LLMs? This article dissects the common pitfalls of current LLM interaction, from 'Google Syndrome' to context blindness, and charts a course for engineering more intuitive, expert-driven AI experiences.