Now, they might be; they've certainly used silly metrics in the past (LoC, commit count, etc.) without ever fully acknowledging it. But I don't believe that it's as simple as more tokens = more better.
Now, they might be; they've certainly used silly metrics in the past (LoC, commit count, etc.) without ever fully acknowledging it. But I don't believe that it's as simple as more tokens = more better.
We have token tracking dashboards that leadership is looking at. I know because they show us in these manager meetings. Haven't opened them to everyone yet as some kind of leaderboard, so at least that's nice.
Lots of rumors token spend will be involved in perf reviews. Leadership denies it... but then holds more meetings telling us how important it is to increase our token spend and discussing inadequacies from the token spend dashboards.
I wish I was kidding, but they really are pushing increased token usage. Like I said, we push back. When we push back they acknowledge it's a bad metric and lately have started to add qualifiers about how we don't want to burn tokens unnecessarily and in fact we should be looking to use tokens more efficiently.
And then in the next meeting we are once again talking about how to encourage our teams to use more tokens.
The goal is to increase AI usage of course, but the only metric they track to measure progress on that goal is token usage. Also endless presentations of vibed tools that we never hear about again after a week. Get a lot of those too.
People in FAANG likely worked hard to get in there or lucked out or some combination of both. I feel like my soul would be crushed if I hacked away at Leetcode for months on end just to babysit and gaslight some algorithm into asymptotically following my instructions.
Overall I would say most are exploring the new tools while waiting for the madness to subside. Work in $BIGCORP for long enough and you get used to leadership being out of touch with the work on the ground.
Engineers in $BIGCORP jobs are by and large not the hacker types anymore btw.
I feel like the economic value of talent is about to be in an interesting position sometime in the not so distant future. Perhaps talented engineers use AI is a more talented manner, but I am not sure that is entirely true nor will it remain that way forever.
The problem explodes at any company that puts up a token use leaderboard or hints that they might do layoffs for engineers that refuse to use AI tools. This triggers a race to use as many tokens as possible to stay ahead.
Anecdotally, the problem is worst among devs who read a lot of social media. Twitter, Threads, Mastodon, LinkedIn, and others are filled with recycled viral stories about companies going AI-native and firing people who don't use enough AI. Anxieties are high right now so nervous developers see this and think they must burn tokens faster than their peers to avoid an inevitable culling.
Stuff that could be easily done as shell scripts gets asked how could we make an agent out of it.
I'm kidding, of course... but human stupidity is infinite, so...
When it comes to dollars, it's hard to know what "value" even means.
Congratulations!
Not sure if this is still the case, I rarely use PowerPoint.
Apparently the github one is more useful for its target audience.
Big companies have thousands of leaders. Many good, many bad.