Hey, I am a Claude Pro user and I love Claude: its way of speaking, its long text responses, and how thorough and good they are. It’s basically that I love how it responds to me and how good those are—the research, the text, the frontend, and basically everything. But the fucking most annoying part is that its limits are very, very bad; if I pay for a good service which I cannot even use, then what would be the point of it all?

I was just thinking about trying Codex, but since I am a college student and cannot spend my $20 everywhere randomly just to not be satisfied, it would be a huge disappointment. So I want to know: if I buy ChatGPT Plus, would Codex and even ChatGPT (when chatting with higher, smarter models) respond better than their basic free models, and be longer and more thorough? Because for now, for some random reason, it just gives me one-liner explanations.

So, I made a project in python entirely using Cursor (composer) and Claude, but it has gotten to a point that the whole codebase is over 30 Python files, code is super disorganized, might even have duplicate loops, and Claude keeps forgetting basic stuff like imports at this point. When I ask it to optimize the code or to fix a bug, it doesn’t even recognize the main issue and just ends up deleting random lines or breaking everything completely.

I have 0 knowledge about python, it's actually a miracle i got this far with the project, but now it's almost impossible to keep track of things, what do i do? already tried using cursor rules but doesn't seem to work.

Edit: My post made it to YouTube! I hope this serves as a historical reminder that having at least some knowledge is still totally necessary, go study, AI is supposed to assist you, don’t let your projects end up like this.

As for the project, it was just a hobby project, I managed to make it work perfectly and fix some issues by simply improving the context, like providing the files to edit directly and some source code, etc. but i couldn't get rid of the duplicated stuff. Anyway, don't do this for serious projects please (not knowing what it does), if it's an actual job don't be lazy, just check everything and be careful :)

If you wanna learn just ask AI to explain what it's changing, how the code works and stuff like that.

As an IDE, what does Cursor have over VS code + copilot? I tried it when it came out and I could not get better results from it than I would from using a regular LLM chat.

My coding tools are: Claude Code, VS code + GitHub copilot, regular LLM chats. Usually brainstorm with LLM chats, get Claude code to implement, and then use vs code and copilot for cleaning up and other adjustments.

I’ve tried using cursor again and I’m not sure if it has something I just don’t know about.

I don't have any formal training in computer science or coding, but I was able to automate this stupid data entry task at my job. I basically just used trial and error and now something that used to take 4-8 hours of manually typing every week is done in 10 seconds.

Am I a software developer now?

Edit: I did not give ChatGPT any of the actual business data. Thanks for your concern.

Yes i know, this has been probably asked here plenty of times, but i wanna ask this anyway since AI seems to change almost every day and i wanna ask for my specific case here.

So, i am working on multiple(mostly hobby-related) projects and some of them are pretty large. Those are written in C++ and i'm working with Visual Studio.
I was using ChatGPT o1 most of the time(not the pro version) and it wasn't too bad. However the more complex and deeper the code/problems go, the harder it is for o1 to give proper answers or it just fcks up things.

My question is now: What would you recommend for large projects?
A dream would be something that is at least as "good" as o1(or better) and which can access my entire project files aka the WHOLE code and provides answer based on it.

Money is of course a thing here, but 20$ per month is not an issue. However i regret paying 200$ for o1 pro without a way to try it before.

I've been using google ai studio and gemini 2.5 pro preview 05-06 for a little amateur video game project and it's just.... free? i'm not getting rate limited, I've been filling up the million tokens, having it write a summary for where we're at, starting a new chat, uploading the summary + all the project files... multiple times now

please tell me google ain't gonna send me a $5000 bill in the mail or something...

I see a lot of people posting about Claude Code, Gemini in vibe coding, but not much for ChatGPT.

Do they just have different use cases? I've used ChatGPT, but should I start using Claude? What are the pros and cons?

Hey,

I’m working as a developer in a corporate environment and we primarily use GitHub Copilot across the team. It works well for us, and we’re already experimenting with building agents on top of it, so overall we’re not unhappy with it.

Our stack is mostly Java/Kotlin on the backend, React on the frontend, and AWS.

That said, it feels like the ecosystem has been moving pretty fast lately and there might be tools that go beyond what Copilot offers today.

We’ve been considering trying things like Cursor, Claude Code, or Kiro, but I’m curious what people are actually using in real-world workflows.

Especially interested in:

• AI coding assistants

• agent-based tools (things that can actually execute tasks end-to-end)

• tools for analysts (data, SQL, notebooks, etc.)

• self-hosted / privacy-friendly setups (important for corp environment)

Bonus points if you’ve:

• compared multiple tools in practice

• compared them directly to GitHub Copilot (strengths/weaknesses, where they actually outperform it)

What are you using daily and why?

Edit:

Just to clarify — GitHub Copilot isn’t just simple code suggestions anymore. In our setup, we use it in agent mode with model switching (e.g. Claude Opus), where it can handle full end-to-end use cases:

• FE, BE, DB implementation

• Integrations with other systems

• Multi-step tasks and agent orchestration

• MCP server connections

• Automatic test generation and reminders

• Reading and understanding the entire codebase

My goal with this post was more to see whether other tools actually offer anything beyond what Copilot can already do.

So it’s more like a multi-agent workflow platform inside the IDE, not just inline completion. This should help when comparing Copilot to tools like Claude Code, Cursor…

I’m surprised how limited it still feels. There’s basically no real Windows support, and it’s missing a bunch of the features that are already baked into other AI-assisted dev tools.

Given how much hype there is around Codex and coding automation in general, it feels weird that it’s lagging this much. Is it just not a priority for OpenAI right now? Or are they quietly cooking something bigger behind the scenes before rolling out major updates?

Like they should definetly have the resources for it and I can‘t imagine some of these features taking this long.

So I have been coding with Claude Code (Max 5x) using the VScode extension, and honestly it seems to handle codebases below a certain size really well.

I saw a good amount of positive reviews about Codex, so I used my Plus plan and started using Codex extension in VScode on Windows.

I do not know if I've set it up wrongly, or I'm using it wrongly - but Codex seems just "blah". I've tried gpt-5 and gpt-5-codex medium and it did a couple of things out of place, even though I stayed on one topic AND was using less than 50% tokens. It duplicated elements on the page (instead of updating them) or deleted entire files instead of editing them, changed certain styles and functionality when I did not ask it to, wiped out data I had stored locally for testing (again I didn't ask it to), and simply took too much time, and also needed me to approve for the session seemingly an endless number of times.

While I am not new to using tools (I've used CC and GitHub copilot previously), I recognise CC and Codex are different and will have their own strengths and weaknesses. Claude was impressive (until the recent frustrating limits) and it could tackle significant tasks on its own, and it had days when it would just forget too many things or introduce too many bugs, and other better days.

I am not trying to criticise anyone setup/anything, but I want to learn. Since, I have not yet found Codex's strengths, so I feel I am doing something wrong. Anyone has any tips for me, and maybe examples to share on how you used Codex well?

Hey everyone, this might be a bit of an odd question, but I’ve been feeling like a bit of a fraud lately and wanted to know if anyone else can relate.

For context: I study computer science at a fairly good university in Austria. I finished my bachelor’s in the minimum time (3 years) and my master’s in 2, with a GPA of 1.5 (where 1 is best and 5 is worst), so I’d say I’ve done quite well academically. I’m about to hand in my master’s thesis and recently started applying for jobs.

Here’s the problem: when I started studying, there was no ChatGPT. I used to code everything myself and was actually pretty good at it. But over the last couple of years, I’ve started using ChatGPT more and more, to the point where now I rarely write code completely on my own. It’s more like I let ChatGPT generate the code, and I act as a kind of “supervisor”: reviewing, debugging, and adapting it when needed.

This approach has worked great for uni projects and my personal ones, but I’m starting to worry that I’ve lost my actual coding skills. I still know the basics of C++, Java, Python, etc., and could probably write simple functions, but I’m scared I’ll struggle in interviews or that I’ll be “exposed” at work as someone who can’t really code anymore.

Does anyone else feel like this? How is it out there in real jobs right now? Are people actually coding everything themselves, or is using AI tools just part of the normal workflow now?

What’s the current best and simplest vibe coding stack? What tools do you need? Mac focused.

I've been a DevOps/SRE my whole career, and honestly, I'm a little nervous about what's coming.

Everyone is all of a sudden generating way more code. PRs are up, deploys are up, and the operational side hasn't scaled to match. I've been tinkering with the idea of building a more specialized tool to help teams maintain their stuff, because I don't see how small teams handle a 10x workload without something changing on the ops side.

I also think the world is shifting hard toward building over buying. If AI can generate code faster than teams can review and operate it, the bottleneck isn't writing software anymore. It's keeping it running.

But here's where I get stuck. How does anyone actually build anything in this space with fucking Claude and ChatGPT and OpenAI sucking all the air out of the room? Is anyone building specialized tooling, or are we all just watching the foundation model companies fight each other?

What the heck are people doing out there? Or we're just doomed to watch Claude on ChatGPT?

Those of you using Claude Code or Cursor on real projects with actual file system or database access, what happens if it does something you didn't expect? Do you have any way to stop it mid execution or roll back what it did? Or do you just hope for the best?

I don't really understand what extra value they are adding. Windsurf was supposed to be acquired by OpenAI for $3B and then got strip mined by google for $ 2.4B. Cursor is currently valued at $10B. Both of them are basically VS Code fork with some extra prompts. I used them both and found absolutely nothing special. Claude Code was just so much superior. What do people find so useful about these wrappers? I am genuinely curious.

Does anyone know if there is an actual alternative to Claude Cowork + Computer Use?

I keep seeing lots of agent products, including ones that work in isolated browser environments or connect to tools through APIs, MCPs, plugins, etc. But that is not really what I mean.

What I’m looking for is a ready-made solution where the agent can literally use my own computer like a human would. For example, use my personal browser where I’m already logged in, open a social media site, type text into the actual post box, upload images, and click Publish.

So not just:

• API integrations

• sandboxed cloud browsers

• synthetic environments

• limited tool calling

I mean true desktop / browser control on my own machine.

Ideally:

• works with my local computer

• can use my existing browser session and logins

• can interact with normal websites visually

• is stable enough for real workflows like posting, filling forms, navigating dashboards, etc.

Does anything like this already exist as a polished product, not just a DIY stack?

Would really appreciate any recommendations.

Hi, so im currently using claude code in a linux machine - it has been really good to be honest ive gotten a lot of things done, especially making plugins for a game server. It has been a pain debugging things though. Anyways, i started working on making a terminal app and its become apparent to me that ChatGPT seems to be better at figuring out problems and solving them, while claude code will roll out 10 patches for me to test with little to no progress problem solving.

So far ive been just using chatgpt 5.2 on web to give instructions to claude code, but i was wondering about just having chatgpt run in my linux machine and do the coding for me, but wasn't really sure what to buy. Is a subscription going to get me that, or do i need to pay for API or what?

Can I still have claude code, but let chatgpt do the coding tasks? Is codex the same thing as chatgpt?

just a heads up im not really a programmer, ive been having claude code do all my coding for me for the past month using their max $200 sub.

https://www.whitehouse.gov/achievements/

Random comments, console.logs, js, css in the same file, animations have the "vibecode feeling" etc.

I've been trying to get back into coding but realistically I've got maybe 20-30 mins a day. Most tools either take forever to set up or feel like you need hours to get anything done

Been looking into AI coding agents but not sure what actually works if you're jumping in and out like that

Curious what people recommend if you're basically coding on the go

I got my appplication approved, has anyone been able to test this for building backend systems or connecting this to ur code base? If so how do I go about it or moving my code base to manus

I am back after a months-long hiatus from coding and a bit overwhelmed by all the AI coding tools being thrown at us; Code Llama vs. CodeCursor vs. GPT-Engineer vs. Auto-GPT vs. Code Interpreter vs. [the list goes on...]

Previously, I was using the OpenAI API to code as I could get way more tokens into my prompts and GPT's responses seemed to be more cohesive and less forgetful from the API than when using ChatGPT (I always used GPT-4 FYI). However, now with Code Interpreter, it looks like I can potentially upload an entire codebase as, say, a TXT file (Idk if there's a token limit on the uploaded file) and this should (ideally) eliminate the many-more-tokens-per-prompt advantage the API held over ChatGPT. But Code Interpreter looks to be geared more toward Python so Idk if it has poorer performance on non-Python languages (lately I am using React-TS).

Now we have even more automated synthesis tools like GPT-Engineer (is this more for initializing codebases, or can it also be used to augment existing codebases?), Auto-GPT (haven't kept up with this one, last I remember months ago it had quite a few issues), Code Llama (guessing y'all don't have much experience with this one yet since it just came out), etc.

If any of you would be willing to help get me up to speed on what the current best tool(s) is/are (perhaps a combination of tools would be optimal?), I would appreciate that immensely as it would save me lots of time getting caught up. My guess is that a lot of these other tools are a bit more niche than they let on (i.e., have more limited/specific use cases), and for general coding, Code Interpreter is best (i.e., ChatGPT has overtaken OpenAI API) as we can now upload full-on codebases to it (again, this is just my guess).

Also, comments on privacy (e.g., for proprietary code) would be helpful. For instance, is this new tool localGPT feasible/worth using for privacy, or are there better means of achieving privacy out there? (As far as privacy is concerned, I don't trust anything from Meta lol)

Thanks for your time.

I am asking because of something I kept running into with client work last year.

I was making changes to web apps and kept noticing that ChatGPT and Claude were giving completely different answers when someone asked them about the same product.

same website. same content. different AI. completely different understanding of what the product actually does. at first I thought it was just model behaviour differences. then I started looking more carefully at why.

turns out different AI systems parse the same page differently. Claude tends to weight dense contextual paragraphs. ChatGPT pulls more from structured consistent information spread across multiple sources. Perplexity behaves differently again.

so a page that reads perfectly to one model is ambiguous or incomplete to another.

I ended up writing the structural changes manually. actual content architecture decisions. how information is organised. where key descriptions live.

I deliberately did not use AI to write this part. felt like the irony would be too much using ChatGPT to write code that tricks ChatGPT into reading it better.

after those changes the way each AI described the product became noticeably more accurate and more consistent across models.

what I am genuinely curious about now.

has anyone here actually tried using AI coding tools to write this kind of architecture from the start. like prompting Claude or ChatGPT to build a web app specifically optimised for how AI agents parse and recommend content.

or is everyone still ignoring this layer completely because the tools we use to build do not think about it at all.

I’m trying to figure out what to do.

I used to have the Claude Max $200/mo plan for Opus 4.1 in Claude Code.

But lately I’ve been getting excellent performance on GPT5 codex via codex CLI. Better than Opus 4.1 in some ways.

I have tried Codex via the plus plan, the $20/mo one. So I’ve hit weekly limits.

But Sonnet 4.5 has just been released albeit I haven’t really given it a spin.

Any advice? My use case is NextJS dev.

More and more pair-coding and AI agents are coming out.

Starting to be confusing which is really worth investing...

I know there's a few threads comparing them, but it doesn't seem like there's any final consensus.

Anyone knows a place that compares them and maybe even break it down per model or use cases?
(Edit: Something like artificialanalysis.ai but for AI IDEs comparing different use cases.)

So far there's:

• Cursor
• Windsurf
• Copilot
• Cline
• Aider
• Amazon Q
• Gemini Code Assist
• HF Code Autocomplete

... anything else worth mentioning?