The context window is the most expensive resource in AI coding. Every token you save is money, speed, and accuracy. The question is how you save them.
Three approaches have emerged in the last year, and they represent genuinely different philosophies about where the savings should come from.
The viral HN #1 darling. An MCP server that sandboxes tool output (98% reduction), persists session state to SQLite, and enforces a “think in code” paradigm — instead of reading 50 files into context, the agent writes a script that computes the result and logs only the output.
