Context switching is where engineering productivity goes to die.
You're deep in a refactor inside Cursor or Claude Code, logic is flowing, and then—a notification. A repository grade dropped from an A to a B. Or worse, test coverage slipped by 3% on the last main branch merge. Your instinct is to jump over to the Code Climate dashboard, hunt through repositories, find the right snapshot, and figure out what broke.
By the time you've navigated back to your IDE, the mental model of the code you were just touching is already dissolving.
This is why I've been focused on the Model Context Protocol (MCP). It shouldn't just be about giving an LLM access to your filesystem or a Google Search tool. The real value is in turning your AI agent into a functional extension of your engineering intelligence tools.
Beyond simple API wrappers
