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Uber torches 2026 AI budget on Claude Code in four months

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Re: Uber torches 2026 AI budget on Claude Code in four months

#71

Post by ravenstine »

swiftcoder wrote: post #29
entropicdrifter wrote: post #24

Earlier quoted context omitted.

I'm on the same page. Do people not analyze the problems themselves? Are they just copy/pasting their entire ticket description into Claude Code and having it iterate until they land on something that works? I don't get it.

> Are they just copy/pasting their entire ticket description into Claude Code and having it iterate until they land on something that works? That is exactly what they are doing, yes

And why wouldn't they? Companies are quite literally instructing them to do so. I work at such a company and have heard similar anecdotes from colleagues that work at other companies.

Re: Uber torches 2026 AI budget on Claude Code in four months

#72

Post by lattalayta »

bhagyeshsp wrote: post #10

Wonderful, so when will I see novel features in my Uber app?

You can now reportedly book a hotel from the Uber app...which is totally a useful feature that I'm sure everyone will start to use /s

https://investor.uber.com/news-events/news/press-release-det...

Re: Uber torches 2026 AI budget on Claude Code in four months

#73

Post by some-guy »

brokencode wrote: post #30
abuani wrote: post #17

I take a peak every month or so at spend for my company and notice more and more are consumed $1k in tokens a month and it is bewildering to me how. I use llms daily, and see anywhere from $200-$400 tops. This is using the most expensive models, in deep thinking mode. So I'm not a Luddite against the usage of them. I just can't figure how _how_ to burn that much money a month responsibly. I genuinely challenge someon…

Really depends on the repo you’re working in. If it’s very large, especially if the tool needs to refer to documentation for a lot of custom frameworks and APIs, you often end up needing very large context windows that burn through tokens faster. If it’s smaller or sticks with common frameworks that the model was trained on, it’s able to do a lot more with smaller context windows and token usage is way lower.

I'm currently in repos where the context window required is so large that the output is almost always "wrong" for the problem at hand. Quite a few people at my company burn through tokens this way, and it certainly isn't providing value to the company.

Re: Uber torches 2026 AI budget on Claude Code in four months

#74

Post by embedding-shape »

abuani wrote: post #17

I take a peak every month or so at spend for my company and notice more and more are consumed $1k in tokens a month and it is bewildering to me how. I use llms daily, and see anywhere from $200-$400 tops. This is using the most expensive models, in deep thinking mode. So I'm not a Luddite against the usage of them. I just can't figure how _how_ to burn that much money a month responsibly. I genuinely challenge someon…

> I just can't figure how _how_ to burn that much money a month responsibly.

Same but in regards to quotas. I'm on the 200 EUR ChatGPT plan, so presumable have the highest quota, using the "most expensive" models, on highest reasoning, in fast-mode (1.5x quota usage) and after a full day of almost exclusively doing programming with agents, I still get nowhere close to hitting my quota.

In fact, since I started using agents for coding, the only time I even got close, was when I was doing cross-platform development with the same as above, but on three computers at the same time, then I almost hit my weekly quota. But normally, I get down to ~20% of the quota but almost never below that. I don't see how I could either, I'm already doing lots of prompts and queries "for fun" basically.

Re: Uber torches 2026 AI budget on Claude Code in four months

#76

Post by _pdp_ »

abuani wrote: post #17

I take a peak every month or so at spend for my company and notice more and more are consumed $1k in tokens a month and it is bewildering to me how. I use llms daily, and see anywhere from $200-$400 tops. This is using the most expensive models, in deep thinking mode. So I'm not a Luddite against the usage of them. I just can't figure how _how_ to burn that much money a month responsibly. I genuinely challenge someon…

Do you run 20 claud code agent on max for 8 hours a day? :)

Re: Uber torches 2026 AI budget on Claude Code in four months

#77

Post by conartist6 »

brokencode wrote: post #30
abuani wrote: post #17

I take a peak every month or so at spend for my company and notice more and more are consumed $1k in tokens a month and it is bewildering to me how. I use llms daily, and see anywhere from $200-$400 tops. This is using the most expensive models, in deep thinking mode. So I'm not a Luddite against the usage of them. I just can't figure how _how_ to burn that much money a month responsibly. I genuinely challenge someon…

Really depends on the repo you’re working in. If it’s very large, especially if the tool needs to refer to documentation for a lot of custom frameworks and APIs, you often end up needing very large context windows that burn through tokens faster. If it’s smaller or sticks with common frameworks that the model was trained on, it’s able to do a lot more with smaller context windows and token usage is way lower.

So if the AI could do the same work on huge codebases with far fewer tokens, would it be good or bad for the AI companies do you think?

Re: Uber torches 2026 AI budget on Claude Code in four months

#78

Post by dijit »

hyperpape wrote: post #59

I love how these articles drop, and all of a sudden HN is filled with people who think engineering productivity is simple to measure. Yes, productivity implies revenue (or cost reduction), and revenue is measurable. However: 1. You spend money today to build features that drive revenue in the future, so when expenses go up rapidly today, you don’t yet have the revenue to measure. 2. It’s inherently a counterfactual c…

> HN is filled with people who think engineering productivity is simple to measure.

I think the prevailing (correct) consensus is that developer productivity is actually very hard to measure, and every time it is attempted the measure is immediately made a target making the whole thing pointless even if it had been a solid measurement- which it wasn't.

IDK where you're getting the idea here that measuring productivity of anyone who isn't a factory worker is easy.

Re: Uber torches 2026 AI budget on Claude Code in four months

#80

Post by npongratz »

esafak wrote: post #64
Verdex wrote: post #57

Earlier quoted context omitted.

That's my take as well. I've had my unPRed branches grabbed up and blindly merged by an agent twice now. The guy doing it was shocked both times that his PR had my change sets in it. Also one engineer is treating the code as assembly. I've asked some pointed questions about code in his PR and the response was "yeah, I don't know that's what the agent did". Edit: To everyone freaking out about the second guy. Yeah, I…

To that last guy, as the manager I would say "What is it that you do here??"

That's just a straight-shooter with "upper management" written all over him.
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