I've seen a bunch of people on this sub saying it's dogshite etc. You prolly don't know what you're doing.

It's been a godsend for me, especially since it's free currently.

I keep seeing developers say AI can write code but “can’t do real software engineering.”

But look at the trajectory. A couple of years ago, it could barely write a decent function. The other day I vibe-coded a fairly large app and it built a professional CI/CD pipeline, created an EKS cluster, and deployed the whole thing.

It still makes mistakes, sure. But it’s getting astonishingly better, fast.

I’ve been obsessed with tech for 20 years, and honestly this hurts to admit because I love the field. But AI doesn’t need to be perfect. It just needs the knowledge and judgment of a good engineer.

Why are people so confident there’s some permanent wall it won’t cross?

I'm building a local vibe coding platform, and just added instant agentic updates. The video above is playing in real-time speed. Its hard to communicate what this feels like without having tried it yourself. But what I can say is that it truly feels insane.

Imagine combining this with voice, drawings, images. Soon, we will literally be able to look at our application and tell it what we want. And see it instantly come to life. Not in days, not in minutes, but in seconds.

I mean, is it as smart as Claude-Opus-4.1 / GPT-5 for debugging difficult bugs? No. But I can probably iterate 10 times in the same amount of time that it takes to get 1 answer.

AI coding is the cargo cult programming of the 21st century.

We are not reinventing the wheel. We are resurrecting bad practices that had already been overcome.

AI coding requires code review by the team. Code that is not understood is crap.

So far I have yet to see anyone build a "web APP" that is fully functional and sophisticated using ONLY these ai tools. A lot of the products I have seen from people are just simple web pages that go no where...

Then there are those who use the ai simply for front landing pages. So what's all this hype about? Are newbies just getting fooled into wasting money on subscriptions or what?

Efficiency when programming is only good when you're self-employed. If you work for someone else and get paid hourly, efficiency doesn't help you because you put less time on the clock, you get paid less. Projects that you could've billed $30k for, you might now only make $5k for. Programmers will get paid less and have less work with AI. It's really very simple. For example, freelancers that use a timetracker to bill clients shouldn't use AI, because it makes no sense at all. To not realize this is kind of dumb.

I’m a big fan of Grok in general. It’s not great for coding yet, and some other things like the others AI’s, but not terrible, but regardless, I think Grok is going to crush all the current AI’s for coding. Grok 3 is being trained on the biggest supercomputer cluster in the world (100,000 Nvidia GPU’s), which is 20x faster training than Grok 2.

The Nvidia CEO, said it took Elon 19 days to put together, which would typically take 4 years.

But the greatest thing currently, is Premium subscribers get 50 requests with Grok 2, and 50 requests with Grok 2 mini, every 2 hours. Premium+ 100 requests with Grok 2, and 100 requests with Grok 2 mini.

Now can you imagine they keep those high limits, and Grok 3 is actually good at coding and remembering previous prompts and all that stuff. You could prompt it 2400 times a day/in a 24 hour period.

And trust me I’ve tested the limit (non coding related). I was for several weeks giving it a 100 prompts every 2 hour on the full Grok 2 model, and I had no issues of throttling.

I know people like to shit on Elon here on Reddit. But Grok 3 is the most exciting AI in my opinion.

He said it could be released at the end of the year.

The only thing that sucks for me, is they are currently doing 40% off annual premium and premium plus. So you can get it for $50 or $100 for the entire year. But my subscription doesn’t run out until the 19th, but the offer expires in a couple of days. Maybe I’ll open another account.

They’re talking about an API release, so you don’t need to subscribe. Hopefully that will be low cost as well.

But I’m excited about Grok 3 and the end of the year, and while people focus on what currently works here, I don’t think we should discount Grok as a going nowhere coding AI.

Imagine having the most powerful coding AI, and 2400 prompts a day, for the price of $8-14 a month (depending on the discount). That’s what I’m hoping for.

AI code generation is still very , very much in its infancy, and there's a lot of anecdotal evidence at the moment that people who rely solely on LLMs for coding end up completely cooked in the long run.

At the moment this is certainly the case, AIs just aren't that good at coding. But compare this to where we were 18 months ago, it's already come on in leaps and bounds, and in another 5 years, I daresay it'll be able to do everything the best developers/engineers in the world can do.

So whilst those right now relying on LLMs aren't getting brilliant results, it won't be long before they are, and those screeching that it's vibe coding and they don't understand the codebase and can't debug and blah blah, are going to find these comments age very poorly and will be swimming against the current when grads out of uni can develop what senior developers with 20+ years experience develop now, and they'll be the first ones on the chopping block with the bloated salaries and nothing new to add but yell 'butbtheyre vibe coding!'

Hey guys so i've been messing around with vibecoding for healthcare stuff and speed is kinda of insane. Like GPT + Cursor can get you from zero to a working flow much faster than usual. Especially for demos and internal tools.

However, I know that healthcare feels like the worst place for shortcuts to pile up. Once you think about data boundaries, logs, access control, and what happens when real patient data shows up, things get very volatile...

Most setups I see use ChatGPT or Cursor, Supabase for auth and storage, and Specode to keep things from going off the rails. Anyone actually ship something like this, or does everyone quietly rebuild later?

Title. Wish microsoft / google would pick up on this. Even using Cline + Claude latest gives bandaid / jumbled code for a little bit of complex work and it loops and cant solve it. It is what it is I guess, i just hope it would be available for non coders like me in my lifetime.

8 years ago, I was diagnosed with a rare autoimmune condition. top doctor said i had only 2 years, but somehow I am still here. That experience exposed a massive gap in how we access health information.

Surface level stuff is everywhere. Symptoms, medication names, basic explanations. That is not the problem.

The problem is when you need to go deep. When you need to understand how your specific condition interacts with a specific drug. When you want to track why certain symptoms cluster together every few weeks. When you need to see patterns across 6 months of health data that might actually explain what is happening to you.

so you might ask chatgpt something today, it forgets 50%. You google one thing, get 10 tabs open, lose context completely. Nothing connects. Nothing remembers. You end up becoming your own doctor just to have a coherent picture of your own health.

I spent 3 years building this to fix.

The core is context preservation. Your conditions, medications, symptoms, history, all of it stays connected across every conversation. When you ask something it is not starting fresh. It knows your situation. It can trace relationships between things that surface level tools completely miss.

For people with rare or complex conditions this is the difference between useful and useless. Generic health info helps no one when your situation is not generic.

The technical challenge was scale stability. so health queries vary wildly in complexity and context size. Preventing crashes under unpredictable load took a lot lot of work.

12k downloads on iOS. Organic growth mainly.

Solo mission. 3 years in. Still building.

Hope you guys try the app :)

As I started dreaming that Gemini2.5 is going to be the model I'd stick with, they nerfed it today.

{% extends "core/base.html" %}
{% load static %}
{% load socialaccount %}
{% block content %}
<div class="flex min-h-full flex-col justify-center py-12 sm:px-6 lg:px-8">
...

I asked for a simple change of a button to look a bit bigger and this is what I got

I don't even have a settings_base.html

% extends "account/../settings_base.html" %}
{% load allauth i18n static %}

{% block head_title %}
    {% trans "Sign In" %}
{% endblock head_title %}...

Just 30 mins ago it was nailing all the tasks and most of the time one-shotting them and now we're back to a retard.. Good things don't last huh..

The GPT4 released earlier this month costs 50 to 85% less to run. (https://openai.com/pricing)

The previous, far superior (at least for coding) version is no longer available through the chat interface.
Altman has previously said GPT4 cost $300mn to train. Reduced performance and cost for them is a business decision through and through - you were undoubtedly getting a fantastic deal prior to November - cheap access to military grade tech.

Personally, I'm thankful the previous version is still currently available on playground. If enough folk want me to create a chat interface for the old GPT4 still available through API (i.e. if you don't like the pay as you go model or the playground interface https://platform.openai.com/playground) let me know and I'll see what I can put together over the next week or so - maybe check back here in a week.

Will try to keep it as close to same price ($24 inc tax) as possible but will need to limit number of messages so as not to exceed the monthly sub you're paying.

I can finally explore almost every domain in the field of programming without much hassle, without minor details taking substantial time to resolve. ChatGPT is simply plugging those holes every time, be it Arch or Ubuntu handling, virtualizing environments, understanding various github repos, vim and emacs, you can really learn a lot in just a few days and it makes me happy that the space is becoming more equitable regardless of 'serious programmers' shitting all the time

I recently have been vibe coding for the past couple weeks and while it is convenient for simple tasks, as soon as I need more a complex task like adding a refresh token to my auth workflow that gets executed via a client-side callback, I just keep getting terrible responses that break everything. I spend hours telling ChatGPT how dumb it is and why the solution doesn’t work and all I get in response is, oh I see the issue now, only to be give an equally terrible answer as the one before.

Our jobs are safe, for now.

Does anyone actually have a vibe coding success story?

Is this a valid strategy that actually works?

I've been putting both Gemini 1.5 Pro (latest) and Claude 3.5 Sonnet through their paces, tackling everything from complex coding challenges to dissecting nuanced news and Twitter debates. Honestly, I'm finding them to be pretty neck-and-neck in terms of overall capability.

Sometimes they complement each other beautifully, other times Gemini pulls ahead, and occasionally Claude 3.5 Sonnet surprises me with a more insightful response. However, my gut feeling leans slightly towards Gemini being the more consistently impressive of the two.

Curious to hear if anyone else is having a similar experience or if it's just me! What are your thoughts on the Gemini vs. Claude 3.5 Sonnet debate?

Alright, so a few weeks ago ago I had this idea for a Scrabble-style game and thought "why not try one of these fancy AI coding assistants?" Fast forward through a sh*t ton of prompting, $417 in Claude credits, and enough coffee to kill a small horse, I've finally got a working game called LetterLinks: https://playletterlinks.com/

The actual game (if you care)

It's basically my take on Scrabble/Wordle with daily challenges:

  - Place letter tiles on a board

  - Form words, get points

  - Daily themes and bonus challenges

  - Leaderboards to flex on strangers

The Good Parts (there were some)

Actually nailed the implementation

I literally started with "make me a scrabble-like game" and somehow Claude understood what I meant. No mockups, no wireframes, just me saying "make the board purple" or "I need a timer" and it spitting out working code. Not gonna lie, that part was pretty sick.

Once I described a feature I wanted - like skill levels that show progress - Claude would run with it.

Ultimately I think the finished result is pretty slick, and while there are some bugs, I'm proud of what Claude and I did together.

Debugging that didn't always completely suck

When stuff broke (which was constant), conversations often went like:

Me: "The orange multiplier badges are showing the wrong number"

Claude: dumps exact code location and fix

This happened often enough to make me not throw my laptop out the window.

The Bad Parts (oh boy)

Context window is a giant middle finger

Once the codebase hit about 15K lines, Claude basically became that friend who keeps asking you to repeat the story you just told:

Me: "Fix the bug in the theme detection

Claude: "What theme detection?"

Me: "The one we've been working on FOR THE PAST WEEK"

I had to use the /claude compact feature more and more frequently.

The "I found it!" BS

Most irritating phrase ever:

Claude: "I found the issue! It's definitely this line right here."

implements fix

bug still exists

Claude: "Ah, I see the REAL issue now..."

Rinse and repeat until you're questioning your life choices. Bonus points when Claude confidently "fixes" something and introduces three new bugs.

 Cost spiral is real

What really pissed me off was how the cost scaled:

 - First week: Built most of the game logic for ~$100

 - Last week: One stupid animation fix cost me $20 because Claude needed to re-learn the entire codebase

The biggest "I'm never doing this again but probably will" part

Testing? What testing?

Every. Single. Change. Had to be manually tested by me. Claude can write code all day but can't click a f***ing button to see if it works.

This turned into:

 1. Claude writes code

 2. I test

 3. I report issues

 4. Claude apologizes and tries again

 5. Repeat until I'm considering a career change

Worth it?

For $417? Honestly, yeah, kinda. A decent freelancer would have charged me $2-3K minimum. Also I plan to use this in my business, so it's company money, not mine. But it wasn't the magical experience they sell in the ads.

Think of Claude as that junior dev who sometimes has brilliant ideas but also needs constant supervision and occasionally sets your project on fire.

Next time I'll:

1. Split everything into tiny modules from day one

2. Keep a separate doc with all the architecture decisions

3. Set a hard budget per feature

4. Lower my expectations substantially

Anyone else blow their money on AI coding? Did you have better luck, or am I just doing it wrong?

I think LLM's will get so cheap to run that the cost won't matter anymore, datacenters and infrastructure will scale, LLM's will become smaller and more efficient, hardware will be better, and the market will dump the prices to cents if not free just to compete, but I'm talking about the long run.

Gemini is already a few cents and it's the most advanced one, and compared to claude it's a big leap.

For vibe-coding agents, there's already 2 of them that are completely free and open source.

Paid apps like cursor and windsurf will also disappear if they don't change their business model.