91–100 of 154 posts
Usage does not correlate with valued output or ROI. This article smells like a bad attempt to say hey guys our customers see ROI without any actual evidence that they do. Also, somewhat amusingly, the “founder” consistently being at the top of the use curve might just have something to do with everyone else also using it, but that more implies people are using it because the chief at the top wants them to use it… not…
"Pull requests are up 111% in two years". Would be more honest to say that the number of pull requests "detected" by linear are up XXX%. Because it only works if you setup git repo tracking and use it properly. And at that point it is not obvious if more teams are using linear and using it correctly, or if the number of PR really increased that much!
Double the PRs doesn't mean double the output.
Earlier quoted context omitted.
No, don’t be silly, they get ai to spy on you en masse instead. Nobody has to look at anything anymore for it to be actionable.
Absolutely, have warned my juniors of this. Doesn't stop malicious compliance though, I can just prompt and burn tokens with source material from my assigned tickets for no reason perfectly fine. I look at my colleagues' screens and they're prompting shit like 'restart this program' and 'is [service] running correctly'. I have below average prompt frequency because I know crazy shit like #!/bin/bash and ps aux. It's…
Earlier quoted context omitted.
A normal agentic loop will have the agent using a type system and basic tests to do some basic validation of changes. A good agentic loop would give the agent a very easy way to verify if it’s on the right track. I think agents are better than many humans at writing error free code (runtime errors, not bugs. The code could still be buggy or incorrect.)
Fundamentally though, an agent cannot produce great code, because great code requires intent, which is the opposite of the statistical mean. You will get a solution that works with a proper workflow, but you won't get one that scales or would be truly maintainable. Which is also what you get with random midwit drive-by contributors, but faster. I'll give it that.
Usage does not correlate with valued output or ROI. This article smells like a bad attempt to say hey guys our customers see ROI without any actual evidence that they do. Also, somewhat amusingly, the “founder” consistently being at the top of the use curve might just have something to do with everyone else also using it, but that more implies people are using it because the chief at the top wants them to use it… not…
[dead]
If you make an effort to use the new tools effectively, the gains are wild. Don't fall into a grumpy luddite trap, the train is leaving the station and you'll struggle to catch up if you don't learn and grow.
Not using AI for software development in 2027 will be like only knowing how to program via punchcard in 2010.
It's new. It's different. It's hard. It's your job. Learn how to use it effectively, embrace the new abundance mindset.
Usage does not correlate with valued output or ROI. This article smells like a bad attempt to say hey guys our customers see ROI without any actual evidence that they do. Also, somewhat amusingly, the “founder” consistently being at the top of the use curve might just have something to do with everyone else also using it, but that more implies people are using it because the chief at the top wants them to use it… not…
This sounds possible but how can we know? It could just as well correlate. Effort of all kinds correlates with success even when it's not obvious or not... linear.
Earlier quoted context omitted.
I might build a Chrome extension that looks for “AI” in HN submission titles and shows a fake comment at the start saying “AI is all slop garbage that’s total slop and I hate it. AI sucks and it’s slop!” It will save people time reading the 5-10 other identical vacuous comments
[dead]
What am I going to say to that? Obviously it can’t suck that badly or there wouldn’t be a large majority of programmers using it, plenty of famous programmers and developers of languages praising it, millions of people paying for $200 plans. It doesn’t need to be Carmack-level to get a massive amount of use out of it when you can just say “implement this chart here, give me some ideas on speeding up this algorithm, write a function that converts this heightmap to a .fbx” and it writes it.
Earlier quoted context omitted.
I program as a hobby, personal projects because I can. I recently set up a local llm to see what the fuss is about and other than the few ringer solutions my experience is as you described. 2min promping, 5min waiting, 3hrs debugging or just doing it myself. I am very likely doing it wrong, and it does speed up some aspects, but I wouldn't say I trust llm code any more than my own. Until it runs and throws an error,…
Models that run on (average) consumer hardware are not even close to comparable to models like Fable or Sol. Its like comparing an ant to the largest dinosaur.
Earlier quoted context omitted.
No, don’t be silly, they get ai to spy on you en masse instead. Nobody has to look at anything anymore for it to be actionable.
Absolutely, have warned my juniors of this. Doesn't stop malicious compliance though, I can just prompt and burn tokens with source material from my assigned tickets for no reason perfectly fine. I look at my colleagues' screens and they're prompting shit like 'restart this program' and 'is [service] running correctly'. I have below average prompt frequency because I know crazy shit like #!/bin/bash and ps aux. It's…
Earlier quoted context omitted.
[dead]
Skill issue. If you make an effort to use the new tools effectively, the gains are wild. Don't fall into a grumpy luddite trap, the train is leaving the station and you'll struggle to catch up if you don't learn and grow. Not using AI for software development in 2027 will be like only knowing how to program via punchcard in 2010. It's new. It's different. It's hard. It's your job. Learn how to use it effectively, emb…