I'm not saying that AI can't make you productive, it's just that these claims are really hard to verify. Even the recently posted Cloudflare OAuth worker codebase took ~3 months to release (8 Mar - 20 May), producing a single file with >2k lines. Is that going to be harder to maintain than a codebase with a proper project structure that's easily parseable by a human?
This is incorrect. The library was part of the MCP framework we launched on March 25 -- the same month development began:
https://blog.cloudflare.com/remote-model-context-protocol-se...
Indeed the speed with which we were able to turn this around was critical to us, as it allowed us to have our Remote MCP framework ready immediately when the spec was finalized, which led to quite a few companies building MCP servers on Cloudflare: https://blog.cloudflare.com/mcp-demo-day/
I'm not an AI maximalist. I still write lots of code by hand, because there's a lot AI isn't good at. It's good at boilerplate and straightforward code, it's bad at refactoring deep systems. But AI assistance was undeniably a huge win for the OAuth project. There's no way I could have written that library by hand so quickly. (Maybe when I was 25 and had no responsibilities, but these days I have like 1 solid day a week to actually write code...)