Uber blew through its entire 2026 IT budget on AI in 4 months. The State of FinOps Report now lists "FinOps for AI" as the number one priority for 2026 — surpassing traditional cloud cost optimization for the first time. And in typical fighting-an-AI-problem-with-more-AI fashion, Google announced a FinOps Explainability agent at Cloud Next '26 whose entire job is to autonomously investigate why your other AI is costing so much. They also shipped Spend Caps that literally pause your API traffic when the budget runs out.
When a hyperscaler builds a product specifically to help you stop spending money on their platform, you know the burn rate has gotten out of control.
The default for AI-powered dev tools is a $20–200/month subscription piped to someone else's servers. Most developers don't question it. They sign up, hand over a credit card, and start streaming every keystroke to a data center in Virginia. But the silicon you already own can run surprisingly capable models. And the best agentic coding tool — Claude Code — already speaks the protocol you need to point it at a local model or a free cloud endpoint instead.
Your Code Doesn't Need a PhD
Most coding tasks aren't "explain quantum mechanics." They're summarize, classify, extract, rewrite, refactor. Local models handle these well. A 9B parameter model running on your laptop can rubber-duck a bug, suggest a refactor, and scaffold a component without ever touching a network socket.
