13
Why I'm Betting Against AI Agents in 2025 (Despite Building Them)
(utkarshkanwat.com)
you are viewing a single comment's thread
view the rest of the comments
view the rest of the comments
this post was submitted on 20 Jul 2025
13 points (88.2% liked)
Technology
39109 readers
92 users here now
This is the official technology community of Lemmy.ml for all news related to creation and use of technology, and to facilitate civil, meaningful discussion around it.
Ask in DM before posting product reviews or ads. All such posts otherwise are subject to removal.
Rules:
1: All Lemmy rules apply
2: Do not post low effort posts
3: NEVER post naziped*gore stuff
4: Always post article URLs or their archived version URLs as sources, NOT screenshots. Help the blind users.
5: personal rants of Big Tech CEOs like Elon Musk are unwelcome (does not include posts about their companies affecting wide range of people)
6: no advertisement posts unless verified as legitimate and non-exploitative/non-consumerist
7: crypto related posts, unless essential, are disallowed
founded 6 years ago
MODERATORS
You have to check it every single time, though, erasing any time savings. You're saving effort, maybe, but not time.
You're absolutely saving time, checking that the code works is far less time consuming than writing it. Especially for stuff like UIs or service endpoints. I literally work with this stuff on daily basis, and I would never go back. There's also another aspect to it which is that I personally find it makes my workflow more enjoyable. It lets me focus on things I actually want to work on, while automating a lot of boilerplate that I had to write by hand previously. Even if it wasn't saving me much time, there's a quality of life improvement here.
METR measured the speed of 16 developers working on complex software projects, both with and without AI assistance. After finishing their tasks, the developers estimated that access to AI had accelerated their work by 20% on average. In fact, the measurements showed that AI had slowed them down by about 20%.
Yes, I've seen this as well. First of all, 16 devs is a tiny sample, a far bigger study would be needed to get any meaningful results here. Second, it really depends on how experienced people are at using these tools. It took me a while to identify patterns that actually work repeatably and develop intuition for cases where the model is most likely to produce good results.