A viral Claude Code skill claims to cut 65% of output tokens by making LLMs talk like cavemen. Two research papers suggest forced brevity can actually improve accuracy in large models. But tokens are also compute — and nobody has benchmarked whether caveman-speak helps or hurts code quality. A look at the arguments on both […]
Read More →Why the biggest problem with MCP isn’t the protocol — it’s the context window tax. And how Code Mode solves it. Table of Contents What Is MCP? A Quick Refresher Model Context Protocol (MCP) is an open standard that lets AI agents connect to external tools and services. Think of it as a universal adapter: […]
Read More →I’ve spent the last few months living in Claude Code. If you’re wondering if it’s worth the hype, the answer is yes—but probably not for the reasons you think. It isn’t just a better autocomplete. It’s more like a competent pair programmer that actually reads your whole codebase, runs your terminal commands, and never needs […]
Read More →If you’ve been building with LLMs over the last year, you’ve likely hit the “Agent Wall.” You build a cool agent, give it a massive system prompt, and it works… until it doesn’t. As you add more capabilities, the context window gets bloated, the agent gets confused, and porting that logic to another platform (like […]
Read More →In the last eighteen months, the “how” of software engineering has undergone a seismic shift. We’ve entered the era of Vibe Coding—a world where the distance between a raw idea and a running production service is narrowed by a well-phrased prompt and an LLM that “gets the vibe.” But as we lean more on generative AI […]
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