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workers-oauth-provider discussion
workers-oauth-provider reviews and mentions
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Agentic Coding Recommendations
There's many examples of exactly what you're asking for, such as Kenton Varda's Cloudlfare oauth provider [1] and Simon Willison's tools [2]. I see a new blog post like this with detailed explanations of what they did pretty frequently, like Steve Klabnik's recent post [3], which while it isn't as detailed has a lot of very concrete facts. There's even more blog posts from prominent devs like antirez who talk about other things they're doing with AI like rubber ducking [4], if you're curious about how some people who say "I used Sonnet last week and it was great" are working, because not everyone uses it to write code - I personally don't because I care a lot about code style.
[1]: https://github.com/cloudflare/workers-oauth-provider/
[2]: https://tools.simonwillison.net/
[3]: https://steveklabnik.com/writing/a-tale-of-two-claudes/
[4]: https://antirez.com/news/153
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A look at Cloudflare's AI-coded OAuth library
> A very good piece that clearly illustrates one of the dangers with LLS's: responsibility for code quality is blindly offloaded on the automatic system
It does not illustrate that at all.
> Claude's output was thoroughly reviewed by Cloudflare engineers with careful attention paid to security and compliance with standards.
> To emphasize, *this is not "vibe coded"*. Every line was thoroughly reviewed and cross-referenced with relevant RFCs, by security experts with previous experience with those RFCs.
— https://github.com/cloudflare/workers-oauth-provider
The humans who worked on it very, very clearly took responsibility for code quality. That they didn’t get it 100% right does not mean that they “blindly offloaded responsibility”.
Perhaps you can level that accusation at other people doing different things, but Cloudflare explicitly placed the responsibility for this on the humans.
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I think I'm done thinking about GenAI for now
The author goes into great detail about how he looked at my commit log[0] where I used AI, and he found it "nauseating" and concluded he'd never want to work that way.
I'm certainly not going to tell anyone that they're wrong if they try AI and don't like it! But this guy... did not try it? He looked at a commit log, tried to imagine what my experience was like, and then decided he didn't like that? And then he wrote about it?
Folks, it's really not that hard to actually try it. There is no learning curve. You just run the terminal app in your repo and you ask it to do things. Please, I beg you, before you go write walls of text about how much you hate the thing, actually try it, so that you actually have some idea what you're talking about.
Six months ago, I myself imagined that I would hate AI-assisted coding! Then I tried it. I found out a lot of things that surprised me, and it turns out I don't hate it as much as I thought.
[0] https://github.com/cloudflare/workers-oauth-provider/commits... (link to oldest commits so you can browse in order; newer commits are not as interesting)
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My AI Skeptic Friends Are All Nuts
What exactly do you want to see put up?
I ask this because it reads like you have a specific challenge in mind when it comes to generative AI and it sounds like anything short of "proof of the unlimited powers" will fall short.
It's almost as if you've set the criteria find LLMs being useful to be proof of unlimited powers.
Here's the deal: Reasonable people aren't claiming this stuff is a panacea. It's useful when used by people who understand its limitations.
If you want to see how it's been used by someone who was happy with the results, and is willing to share their results, you can scroll down a few stories on the front-page and check the commit history of this project:
https://github.com/cloudflare/workers-oauth-provider/commits...
Now here's the deal: These people aren't trying to prove anything to you. They're just sharing the results of an experiment where a very talented developer used these tools to build something useful.
So let me ask you this: Did they put up? Or is it not magical enough for you to deem it useful?
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Cloudlflare builds OAuth with Claude and publishes all the prompts
> did he save any time though
Yes:
> It took me a few days to build the library with AI.
> I estimate it would have taken a few weeks, maybe months to write by hand.
– https://news.ycombinator.com/item?id=44160208
> or just tried to prove a point that if you actually already know all details of impl you can guide llm to do it?
No:
> I was an AI skeptic. I thoughts LLMs were glorified Markov chain generators that didn't actually understand code and couldn't produce anything novel. I started this project on a lark, fully expecting the AI to produce terrible code for me to laugh at. And then, uh... the code actually looked pretty good. Not perfect, but I just told the AI to fix things, and it did. I was shocked.
— https://github.com/cloudflare/workers-oauth-provider/?tab=re...
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A note from our sponsor - SaaSHub
www.saashub.com | 13 Jun 2025
Stats
cloudflare/workers-oauth-provider is an open source project licensed under MIT License which is an OSI approved license.
The primary programming language of workers-oauth-provider is TypeScript.
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