AI coding tools are burning massive token budgets on boilerplate thousands of tokens just to render simple interfaces.
Consider the token cost of "Hello World":
- Tkinter: `import tkinter as tk; tk.Button(text="Hello").pack()`
- React: 500MB of node_modules, and dependencies
Right now context windows token limits are finite and costly. What do you think?
My prediction is that tooling that manage token and context efficiency will become essential.
function Hello() { return <button>Hello</buttton> }
- Using Claude as a “pair producer” in Ableton by giving it access to the Ableton remote script API so it can create patterns - this was 1 year ago so I’d be interested to see how newer models can do https://youtu.be/2WxSB75U6vg
- A Claude Code skill which teaches it how to arrange Ableton loops into songs (by modifying the XML as there isn’t an API for this): https://youtu.be/P6Zw6f6CEbI and https://youtu.be/tVZigxFceUE