521–530 of 634 posts
Earlier quoted context omitted.
I didnt say one shot it, coding agents have been out for more than couple years and yet we cant point to single Good piece of software built by it.
"coding agents have been out for more than couple years"?????
Earlier quoted context omitted.
What would things look like to make someone with currently ~10 years of experience unemployable? It's possible the job might change drastically, but I'm struggling to think of any scenario that doesn't also put most white collar professions out of work alongside me, and I don't think that's worth worrying about
Unemployable is a charged word. A lot of outdated professions still have professionals. There are still professional horse drawn carriages. If the AI performance gains are 50% improvement, and companies decide they rather cut costs and pocket the difference, could be due to many factors, that leaves millions out of a job. And those performance gains are coming for many white collar jobs. I guess your premise is mass…
I am not a software engineer and it seems to me if someone has experience as a software engineer before LLMs, they have skills no one will really be able to acquire again in the same way.
I would expect current software engineers to eat the entire non-customer facing back office in the next ten years.
Earlier quoted context omitted.
OpenAI is still the only AI company that has structured outputs. Anthropic now supports JSON schema but you can't specify array length.
Google Gemini definitely has structured output.
In my experience, you can only use Gemini structured outputs for the most trivial of schemas. No integer literals, no discriminated unions and many more paper cuts. So at least for me, it was completely unusable for what I do at work.
Earlier quoted context omitted.
No, but Codex wouldn’t have asked you those questions either
For me, it still asks for confirmation at every decision when using plans. And when multiple unforeseen options appear, it asks again. I don’t think you’ve used Codex in a while.
Earlier quoted context omitted.
> Model costs continue to collapse And yet RAM prices are still sky high. Game consoles are getting more expensive, not cheaper, as a result. When will competition benefit those consumers? Or consumers of desktop RAM?
The free market has simply decided these consumers are not as relevant as the others.
I remember when AI labs coordinated so they didn't push major announcements on the same day to avoid cannibalizing each other. Now we have AI labs pushing major announcements within 30 minutes .
Do software engineers here feel threatened by this? I certainly am. I'm surprised that this topic is almost entirely missing in these threads.
My experience is that most developers have little to no understanding about engineering at all: meaning weighting pros and cons, understanding the requirements thoroughly, having a business oriented mindset.
Instead they think engineering is about coding practices and technologies to write better code.
That's because they focus on the code, the craft, not money.
I've been listening to the insane 100x productivity gains you all are getting with AI and "this new crazy model is a real game changer" for a few years now, I think it's about time I asked: Can you guys point me ton a single useful, majority LLM-written, preferably reliable, program that solves a non-trivial problem that hasn't been solved before a bunch of times in publicly available code?
People should stop focusing on vibecoding and realize how many things LLMs can do such as investigating messy codebases that took me ages of writing paper notes to connect the dots, finding information about dependencies just by giving them access to replacing painful googling and GitHub issues or outdated documentation digging, etc.
Hell I can jump in projects I know nothing about, copy paste a Jira ticket, investigate, have it write notes, ask questions and in two hours I'm ready to implement with very clear ideas about what's going on. That was multi day work till few years ago.
I can also have it investigate the task at hand and automatically find the many unknowns unknowns that as usual work tasks have, which means cutting deliveries and higher quality software. Getting feedback early is important.
LLMs are super useful even if you don't make them author a single line of code.
And yes, they are increasingly good at writing boilerplate if you have a nice and well documented codebase thus sparing you time. And in my career I've written tons of mostly boilerplate code, that was another api, another form, another table.
And no, this is not vibe coding. I review every single line, I use all of its failures to write better architectural and coding practices docs which further improves the output at each iteration.
Honestly I just don't get how people can miss the huge productivity bonus you get, even if you don't have it edit a singl line of code.
I've always been fascinated to see significantly more people talking about using Claude than I see people talking about Codex. I know that's anecdotal, but it just seems Claude is often the default. I'm sure there are key differences in how they handle coding tasks and maybe Claude is even a little better in some areas. However, the note I see the most from Claude users is running out of usage. Coding differences asi…
Claude Code was instrumental for Anthropic.
What's interesting is that people haven't heard of it/them outside of software development circles. I work on a volunteer project, a webapp basically, and even the other developers don't know the difference between Cursor and Claude Code.