Paul Dix
๐ค SpeakerAppearances Over Time
Podcast Appearances
You know, Anthropic didn't even offer any sort of like enterprise licensing for cloud code.
Like if you wanted to use cloud code without, you know, paying for individual tokens.
Actually, I don't even know if you can use an API key at that point.
It was still like you had to pay for like a personal subscription.
I told all of my engineers, I was like, go sign up for this on your personal credit card and expense it and we'll pay for it.
And I was like, if you hit the limits.
upgrade because like the experience is different if you're worried about hitting token limits versus like you don't care because if you don't care you'll feel more free to like experiment and do things and basically like it progressed from there and i have you know i have a couple of like project like hack projects that i did in the background that i could certainly talk about uh along the way and the progression basically over the last six months but basically by you know the end of last year
it seemed obvious to me that, you know, our days as developers of like handwriting code were extraordinarily limited.
And that at that point, basically with the release of Opus 4.5 and GPT-5.2 Codex and probably Gemini 3, but I don't really use Gemini that much.
But Codex 5.2 and Opus 4.5, I have a lot of experience with.
You know, my feeling was...
if you're an engineer and you're writing even like 10% of the code you write by hand, you're like wasting your time and you're wasting your company's time.
And so this is basically like, you know, the end of last year, the first week or two of this year, I just hit my absolute peak of like, this is amazing and goodbye coding forever.
I'm now like a manager of agents.
right?
A manager of, of cloud codes and codexes.
And I just need to figure out how to get all these things working to maximum effect.
Right.
And the first thing,
The first post I wrote about this was basically on New Year's Eve, where I basically brought up Amdahl's law about performance optimization, where it's like, if you have this complex system and you optimize one component of it, the total amount of performance improvement that you see is going to be limited by the percentage that component represents in terms of the overall thing.