[FunHearing3443]

I'm frankly baffled by the number of commenters saying they've seen little productivity gains using LLMs/agents. My team got cut in half at the end of last year and we've probably increased our output by 25% primarily due to LLMs. Personally it's probably doubled my productivity. And we generally use a pretty structured spec based approach with consistent human code review, and six months into adoption we've had virtually no bugs attributable to an AI mistake (in fact production issues have gone down, knock on wood). My point being we aren't vibe coding.

I speculate the gains must be heavily context dependent (no pun intended). Different teams, tech stacks, product types, and company policies perhaps have an outsized effect on what gains LLMs give. We are allowed to be pretty independent and don't have much of a restriction on token usage.

[rafaelRiv]

What is your metric ? How do you calculate ROI ? Strange that you didn't specify that. Also, are you sure your "25% increase" is due to LLMs ? Every time I see this claim, it is always for a short time period or the increase was not due to LLMs at all

[windward]

>My team got cut in half at the end of last year and we've probably increased our output by 25% primarily due to LLMs. Personally it's probably doubled my productivity.

Love to see worker unity in action.