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.
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.