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 […]

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Most of the text flowing through an agent’s context window isn’t code, reasoning, or instructions. It’s logs. Table of contents The problem nobody talks about Here’s something I’ve been noticing while watching AI coding agents work. You ask Cursor or Claude Code to fix a failing test. The agent runs the test suite. The test […]

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If you’ve been anywhere near the AI development world lately, you’ve probably heard about MCP — the Model Context Protocol. And your first reaction was probably: “Isn’t this just… an API?” Fair question. Both let systems talk to each other. Both move data around. But MCP and APIs solve fundamentally different problems, and once you see […]

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