matt_s 2 hours ago

AI tools are super helpful if you know what they are good for and where the limits are currently. If you work at a place where your expected "time" is constant, aka has a good work/life balance, then its important to be more productive because your competitors will certainly be.

There are parts of the SDLC that cannot be made more productive with AI - all the human parts, communication about changes, testing often involves manual work, etc. So if you have management that just thinks a blanket X% more productivity is achievable across the board, find someplace else to work, its about as smart as a RTO mandate because they like seeing butts in seats.

zerr 5 hours ago

Besides not wanting to give most enjoyable part of the work to LLMs, reviewing LLM-generated code is much more daunting compared to writing the code yourself. So, I only use it for a very narrow and specific 2-3 liners, e.g. some arcane Win32 API calls, where I'd otherwise be browsing some old forums.

ashed96 9 hours ago

AI made us 10x more productive. Management noticed. Now we are expected to ship 10x more features.

The free time was a lie we told ourselves.

  • fiftyacorn 4 hours ago

    It will be interesting if it leads to a bloat of unnecessary features that customers dont really want

binsquare 7 hours ago

No question. I am far more productive because it lets me get to the answers I need far faster.

I'm more of a iterative solver rather than someone who tries to solve it all into their head the first go. And ai tools are perfect for that kind of approach.

vigouroustester 6 hours ago

Depends on the task at hand.. Some tasks like information collection for planning have definitely improved and made easy, but the quality is still not at a level where you can use it without doing an overview.

Overall, it's just the illusion of more productivity or free time. It's just made grunt work easier while making testing/review even more important than before

rozenmd 5 hours ago

I'm still working my regular hours, I think I'm getting considerably more work done in that time.

The type of work has changed too - mind numbing refactors across dozens of files are easier, for new feature work I have time to build several prototypes before picking a direction.

egberts1 4 hours ago

Working more, because of coding errors.

koakuma-chan 10 hours ago

I stopped using AI for projects that I care about. For projects that I don't care about—absolutely, I am working way less.

thiago_fm 2 hours ago

I'd guess about 20-50% overall productivity, given that only a fraction of my work is writing code.

We have to spend a good amount of time organizing the requirements, as it never comes perfectly from product management, as well alignments and weighting tradeoffs from the architecture.

Reviewing code also became a very daunting and time-consuming task.