| ▲ | FartyMcFarter 2 hours ago |
| If any company announces that they use token consumption as an employee performance signal, for me that's close to a red flag to stay away from that company. No company with good engineering leadership should act like this is remotely a good idea. |
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| ▲ | LaurensBER 2 hours ago | parent | next [-] |
| Tokens are the new "lines of code per engineer". Easy to graph, easy to "manage". |
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| ▲ | mig39 2 hours ago | parent | next [-] | | The new TPS reports! | | | |
| ▲ | KellyCriterion 2 hours ago | parent | prev [-] | | ...and easier to bill! Back, then noboday had the idea to charge per "lines of code", but today it seems accepted to charge per words processed? |
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| ▲ | toasty228 33 minutes ago | parent | prev | next [-] |
| You'd be surprised, I know a few devs in very big tech companies, not faang but you definitely know them, and they all have some kind of token leaderboards, a few told their dev "we don't want you to write a single line of code manually anymore", etc. I assume the execs perspective is something like: if the top 20% of worker produce 80% of the code with LLMs and the company still works then we can get rid of the bottom 80% of devs and save money |
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| ▲ | JeremyNT 25 minutes ago | parent [-] | | I think there's probably something to token use as some kind of metric. If you aren't using these tools much, you're definitely not going to remain a top contributor. The world is evolving quickly here. But it's just one signal out of many, and more isn't somehow inherently better beyond a certain point. |
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| ▲ | nickvec 31 minutes ago | parent | prev | next [-] |
| I worked at Uber from 2022-2025. The engineering culture was pretty abysmal, so it checks out. |
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| ▲ | abvdasker 2 hours ago | parent | prev | next [-] |
| Meta does this. Guess what one of the criteria for their recent layoffs was. |
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| ▲ | Aurornis an hour ago | parent | next [-] | | Do you have any source for this at all? I’ve seen so many different exonerations for Meta’s layoff criteria including claims that engineers using the most AI were laid off because Meta had them build AI tools to replace themselves. Everyone is oddly confident despite all of the conflicting explanations. | | |
| ▲ | loeg 37 minutes ago | parent [-] | | Without any evidence, I would be shocked if performance rating wasn't a factor in the layoffs. But performance rating is not the same thing as AI tool use. |
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| ▲ | loeg 2 hours ago | parent | prev [-] | | Meta tracks token consumption, but has explicitly stated that it is not a primary performance metric. Instead, employees are evaluated on "impact." | | |
| ▲ | KaiserPro an hour ago | parent | next [-] | | Indeed, they also said that previous time off for ill health wasn't a reason either. but looking at the number of people who had taken leave, it suggests otherwise. | | |
| ▲ | loeg 43 minutes ago | parent | next [-] | | You can believe whatever conspiracy theories you want, of course, but the most straightforward explanation is that when you lay off X,000 or XX,000 people, some number of them will be on leave. | |
| ▲ | an hour ago | parent | prev [-] | | [deleted] |
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| ▲ | hcnews an hour ago | parent | prev [-] | | Sure, and I have a bridge to sell you. Or alternately refer you to the inevitability of Goodhart's law. |
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| ▲ | an0malous 2 hours ago | parent | prev [-] |
| I worked at a YC company that was doing this and left last month. I wonder where this all started from, VCs and tech execs are such a monoculture |
