Why do people keep ralking about AI as it actually worked? I still don't see ANY proof that it doesn't generate a total unmaintainable unsecure mess, that since you didn't develop, you don't know how to fix. Like running a F1 Ferrari on a countryside road: useless and dangerous
I see a lot of people talk about 'insecure code' and while I don't doubt that's true, there's a lot of software development where security isn't actually a concern because there's no need for the software to be 'secure'. Maintainability is important I'll grant you.
Ask HN: AI productivity gains – do you fire devs or build better products?
211–220 of 244 posts
Re: Ask HN: AI productivity gains – do you fire devs or build better products?
#212Earlier quoted context omitted.
> Why do people keep ralking about AI as it actually worked? Because it does. > I still don't see ANY proof that it doesn't generate a total unmaintainable unsecure mess, that since you didn't develop, you don't know how to fix. I wouldn't know since it's been years since I've tried but I'd imagine that Claude Code would indeed generate a half-baked Next.js monstrosity if one-shot and left to its own devices. Being t…
> can give it a list of fields with validation rules and query patterns and it'll build me CRUD pages in a fraction of the time it'd take me to do so. Ah, is this what you do for a job? I actually have to accord accounting rules between countries, evaluate different conflicting laws, understand what the government wants in a report, check that everything sums up... But if my job was CRUD apps and thats it, yes I woul…
> if my job was CRUD apps and thats it,
I'm not sure whether you intended this but your post reads as presumptuous and disdainful. The whole point of these tools is to free people from having to do these parts of their job so that they can focus on the ones of greater substance. At no point did I say that was my entire job or that I was afraid of it disappearing - if that was your takeaway then I don't know what to say.
Re: Ask HN: AI productivity gains – do you fire devs or build better products?
#213Earlier quoted context omitted.
The best experiences I have are those where I can describe what I want done with details. Rather than asking it add toml parsing, I would tell it to exactly which library to use ahead of time and reduce the number of decisions available to the model to make. Some of the most effective use-cases are when you have a reference to give it, e.g. "add x feature the same way as in this other project that is also in the work…
> The best experiences I have are those where I can describe what I want done with details. But that's the hard part! You can only eke out moderate productivity gains by automating the tedium of actually writing out the code, because it's a small fraction of software engineering.
Re: Ask HN: AI productivity gains – do you fire devs or build better products?
#214Why do people keep ralking about AI as it actually worked? I still don't see ANY proof that it doesn't generate a total unmaintainable unsecure mess, that since you didn't develop, you don't know how to fix. Like running a F1 Ferrari on a countryside road: useless and dangerous
It works. You’re just not doing it right if it doesn’t work for you. It’s hard to convince me otherwise at this point.
Re: Ask HN: AI productivity gains – do you fire devs or build better products?
#215Why do people keep ralking about AI as it actually worked? I still don't see ANY proof that it doesn't generate a total unmaintainable unsecure mess, that since you didn't develop, you don't know how to fix. Like running a F1 Ferrari on a countryside road: useless and dangerous
I’ve been using it to develop firmware in c++. Typically around 10-20 KLOC. Current projects use Sensors, wire protocols, RF systems , swarm networks, that kind of stuff integrated into the firmware. If you use it correctly, you can get better quality, more maintainable code than 75% of devs will turn in on a PR. The “one weird trick” seems to be to specify, specify, specify. First you use the LLM to help you write a…
Re: Ask HN: AI productivity gains – do you fire devs or build better products?
#216I think companies that maintain the same product roadmap, will stagnate irrespective of whether they keep the engineers or fire 90% of them. The ones that will win, in my humble opinion, will be the ones that ask, "What can we build now, that we could not build before due to any reason (cost, expertise etc.)?" That is an entirely different question.
Re: Ask HN: AI productivity gains – do you fire devs or build better products?
#217Earlier quoted context omitted.
Did you use the best model available to you (Opus 4.6)? There is a world of difference between using the highest model vs the fast one. The fast ones are basically useless and it's a shame that all these tools default to it.
Opus is not cost effective.
Re: Ask HN: AI productivity gains – do you fire devs or build better products?
#218Earlier quoted context omitted.
But they don’t 10x my output - they write some code for a problem I/you have already thought about. The hard part isn’t writing the code, it never has been. It’s always been solving and breaking down the problem.
It's not the hard part, just the tedious part that takes the most time.
Re: Ask HN: AI productivity gains – do you fire devs or build better products?
#219Earlier quoted context omitted.
Same here. While LLMs sometimes work surprisingly well, I also encounter edge cases where they fail surprisingly badly multiple times per day. My guess is that other people maybe just don't bother to check what the AI says which would cause them to not notify omission errors. Like when I was trying to find a physical store again with ChatGPT Pro 5.4 and asked it to prepare a list of candidates, but the shop just wasn…
Like when I was trying to find a physical store again with ChatGPT Pro 5.4 and asked it to prepare a list of candidates I wonder if it was getting blocked on searches or something, and just didn't tell you.