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Uber torches 2026 AI budget on Claude Code in four months

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231–240 of 498 posts

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

#231

Earlier quoted context omitted.

It's actually incredible the extent to which non devs imposing KPIs on devs underestimate how badly this will get gamed, whether it's AIs, PR/line counting or whatever.

I think PRs is pretty good, IF 1. you sample a few to see that they are actually meaningful, 2. they go to prod and are validated without having to roll back. Still needs to be managed. But it should be much easier for a manager to catch an engineer gaming PRs than something like AI use or lines of code.

It’s very easy to split changes in more PRs than needed to boost the number.

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

#232
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'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.

Not what I do. I'll reformulate the ticket description so that the purpose and as many details as possible about the solution are made clear from the start. Then I tell Opus to go and research the relevant parts of the codebase and what needs to be done, and write its findings to a research.md file. Then I'll review that file, bring answers to any open questions and hash out more details if any parts seem fuzzy. When the research is sound I'll ask Opus to produce a plan.md document that lists all the changes that need to be made as actionable steps (possibly broken into phases). Then I'll let Sonnet execute the steps one by one and quickly review the changes as we go along.

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

#233

Earlier quoted context omitted.

My friend is a CTO at a non-tech company and he's now dealing with code from non-SWEs trying to self serve with LLMs. But it's like a kid running a lemonade stand. Total DIY weekend project quality stuff that they are demanding go live. Hardcoded credentials, no concept of dev/qa/prod environments, no logging, no tests, no source control. I'm not really sure teaching basic SWE practices / SDLC / system design to peop…

No, you should have forward deployed engineers sitting and working right beside these traditional non SW roles if you need to fully integrate AI into their mix.

Right, unfortunately a lot of orgs are quickly letting loose some combination of non-tech self-serve AI coding and tech org staffing reductions rather than ADDING forward deployed engineers.

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

#234

Earlier quoted context omitted.

As always, improving accessibility for humans makes automation more effective. If the humans need to remember a PhD's worth of source code/documentation to contribute effectively, your codebase stinks.

People at my company have started writing docs specifically for claude. They're quite useful for me too, but kinda disappointing they never wrote these docs for their colleagues.

As someone who has written many docs, it's because 99% won't read it (rightfully so if it's verbose). You can turn that doc into a skill in a repo and Claude will read it everytime it's needed.

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

#235
post #31
post #25

Earlier quoted context omitted.

> responsibly There’s your problem. You’re trying to be responsible instead of trying to burn tokens so you can have your name on top of some leaderboard for most wasteful AI users.

The perverse incentives created by these AI leaderboards are crazy.

But we need OKRs rocks and METRICS! Everyone must have their own one numberrrrr!

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

#236

Earlier quoted context omitted.

The personal max and teams plan actually are an amazing bargain compared to the API PAYG cost you get with Enterprise. I guess they really need their Enterprise features though, otherwise they could just tell users to expense a $200 max sub. Enterprises gonna Enterprise.

Entreprise gets you the written agreement that the data you send to Claude will never be used for model training

It also gives the plan admins the ability to surveil in automated fashion what the company employees are prompting.

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

#237
While this is a fundamentally stupid story to begin with, it was at least reported somewhat better in other venues. The original report came from The Information, and at least this Yahoo Finance[0] writeup mentioned that. This article has very little content and no sourcing.

[0]: https://finance.yahoo.com/sectors/technology/articles/ubers-...

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

#238
post #7

This terrible unsourced article seems to be citing this information piece: https://www.theinformation.com/newsletters/applied-ai/uber-c... ... but the key fact about "$500-$2000" per engineer does not appear there, and seems to be fabricated.

Thank you for the link.

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

#239

Earlier quoted context omitted.

The personal max and teams plan actually are an amazing bargain compared to the API PAYG cost you get with Enterprise. I guess they really need their Enterprise features though, otherwise they could just tell users to expense a $200 max sub. Enterprises gonna Enterprise.

Entreprise gets you the written agreement that the data you send to Claude will never be used for model training

If I explicitly turn this off in Claude’s settings isn’t it the same thing?

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

#240
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…

In our org it's people that have too much stuff in their context, every mcp in the world installed, GTD, PAI, OpenClaw. I'm equally baffled how one can spend that much money during their day to day.
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