591–600 of 819 posts
If you pause your subscription, Claude.ai breaks. I paused my subscription, and my account immediately transitioned to free. It has removed my invoice history, and attempts to upgrade again fail with an internal error. Their chatbot is telling me to navigate to UI elements that don't exist, and free users do not have the option of human support. So I'm stuck; my sub is paused, and I cannot either cancel, or unpause a…
When I see how much the latest models are capable of it makes me feel depressed. As well as potentially ruining my career in the next few years, its turning all the minutiae and specifics of writing clean code, that I've worked hard to learn over the past years, into irrelivent details. All the specifics I thought were so important are just implementation details of the prompt. Maybe I've got a fairly backwards view…
Recently I tried building a native iOS app with zero Swift experience, giving the AI just a markdown spec. This was basically vibe coding, I didn’t understand much beyond general software principles. It quickly broke down: hallucinated method signatures, got stuck on implementing extensions, and couldn’t recover. I would run the app on my device and give it feedback and logs. After hours wasted, I spent some time reading the docs and fixed the issues myself in 30 minutes.
My takeaway: AI will accelerate developers but won’t replace them. Still, acceleration means fewer engineers will be needed to ship the same amount of work.
Anecdotal evidence. I have a fairly large web application with ~200k LoC. Gave the same prompt to Sonnet 4.5 (Claude Code) and GPT-5-Codex (Codex CLI). "implement a fuzzy search for conversations and reports either when selecting "Go to Conversation" or "Go to Report" and typing the title or when the user types in the title in the main input field, and none of the standard elements match, a search starts with a 2s de…
Are you paying for ChatGPT pro? Does that include codex CLI usage? Claude Code on max plan is why I use Sonnet/Opus, but if ChatGPT pro includes codex usage I may switch.
> Practically speaking, we’ve observed it maintaining focus for more than 30 hours on complex, multi-step tasks. Really curious about this since people keep bringing it up on Twitter. They mention it pretty much off-handedly in their press release and doesn't show up at all in their system card. It's only through an article on The Verge that we get more context. Apparently they told it to build a Slack clone and left…
it's going to be an issue I think, now that lots of these agents support computer use, we are at the point where you can install an app, tell the agent you want something that works exactly the same and just let it run until it produces it.
The software world may find it's got more in common with book authors than they thought sooner rather than later once full clones of popular apps are popping out of coding tools. It will be interesting to see if this results in a war of attrition with counter measures and strict ToU that prohibit use by AI agents etc.
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I had a complete shocker with all of Claude, GitHub Copilot, and ChatGPT when trying to prototype an iOS app in Swift around 12 months ago. They would all really struggle to generate anything usable, and making any progress was incredibly slow due to all the problems I was running into. This was in stark contrast to my experience with TypeScript/NextJS, Python, and C#. Most of the time output quality for these was at…
Going from past discussions, there seem to be two issues there. One is that Swift has changed massively since it came out and huge swathes of examples and articles and such online, that LLMs are trained on, are out of date and thus pollute the training set. Another issue is that Apple developer docs are largely sequestered behind JavaScript that makes them hard for scrapers to parse. At least, those are the two expla…
> One is that Swift has changed massively since it came out and huge swathes of examples and articles and such online, that LLMs are trained on, are out of date and thus pollute the training set.
100% jibes with my experience. The amount of times it would generate code using a deprecated API, or some older mechanism, or mix an older idiom with a newer one... well, it was constant really.
And a lot of Googling when I was fixing everything up manually drew me toward this same conclusion: that high quality, up to date information on Swift was in relatively short supply compared to other languages. Couple that with a lower volume of content across all Swift versions and you end up with far from great training data leading to far from great outputs.
> Apple developer docs are largely sequestered behind JavaScript that makes them hard for scrapers to parse.
Yeah, and honestly - even if there's a solution here - the documentation isn't that great either. Certainly not compared with .NET, Ruby, Python, TypeScript, etc.
If I were a vibe coder I'd certainly avoid Swift like the plague.
(Btw, this isn't a knock on Swift itself: as a language I didn't mind it, although I did notice when debugging that the Objective C underpinnings of many APIs are often on display.)
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That code taste of yours, your ability to understand the minutiae, makes you superhuman at managing agents. Comments, docstrings, naming, patterns - by defining better approaches and hold agents to them, the results will be better. Way better. You can't grow a meaningful codebase without solid underlying primitives. The entropy will eat you alive. Systems architecture is becoming more important - systems that play we…
Amen to all your points. All senior devs know what a project looks like that had only juniors and no tech leadership. One big mess. Project stalls. Team spends 98% on bugs and emergencies, and still cant get a grip on curbing the drama. Why? All the point you say for AI are true for juniors as well: when to tell someone to redo a (part of) a project/feature? That same intuition works when collabbing with AI.
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I'm not trying to be offensive here, feel the need to indicate that. But that prompt leads me to believe that you're going to get rather 'random' results due to leaving SO much room for interpretation. Also, in my experience, punctuation is important - particularly for pacing and grouping of logical 'parts' of a task and your prompt reads like a run on sentence. Making a lot of assumptions here - but I bet if I were…
> but these types of prompts and approaches are why I believe so many people think these models aren't useful. 100% agree. The prompt is a 'yolo prompt'. For that task you need to give it points in what to do so it can deduce it's task list, provide files or folders in context with @, tell it how to test the outcome so it knows it has succeeded and closing the feedback loop, and guide it in implementation either via…
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I won’t be satisfied until I get a Linus Torvalds mode. “Your idea is shit because you are so fucking stupid” “Please stop talking, it hurts my GPUs thinking down to your level” “I may seem evil but at least I’m not incompetent”
I'm pretty sure you could get Grok 4 to do that without much trouble.
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Eh, I’ve gotten over that. I’ve been using Claude recently on a personal project for a friend who wanted to take a known export file format and turn it into a list of good households for local political candidates to hit when knocking on doors. And I did that. But it’s been a while since I used pandas and numpy so I told Claude to swap out my loops for efficient code. And he did. Then, just for fun, I said, “Hey, sin…
I 100% agree with you, but to play devils advocate, what would stop an LLM for telling you all about k means clustering and openstreetmap and everything when you ask about an efficient way to cluster deliveries on a map?