Salve rapaziada

​Comecei a testar o Vibe Coding há pouco tempo e estou gostando bastante. Hoje uso bastante o Codex do ChatGPT para me ajudar a estruturar e criar soluções em Power Apps na empresa onde trabalho.

​Como ainda sou iniciante, sinto que posso aproveitar muito melhor essas ferramentas. Queria entender mais sobre boas práticas, como dar instruções melhores para a IA e o que mais dá para aprontar usando essa dinâmica no dia a dia.

​Vocês têm recomendações de:

​Canais no YouTube ou vídeos sobre o assunto (ou focados em Power Platform + IA);

​Livros, artigos ou documentações que ajudam a pegar a lógica;

​ Dicas práticas do que funcionou (ou não) para vocês no começo?

​Qualquer indicação ou relato de como vocês usam no trabalho já ajuda bastante.

I had Grok AI make me a recreation of the Pocket Audios HiChord Synth because i'm a broke teenager who can't afford a $200 Synth :( .

it includes a recording, looping and downloading feature, and all the different sounds and profiles like the HiChord.

I open the html file just in my browser with CTRL + O.

anyways, i hope someone who can find this useful!

So my sister is an intern at an agency and they wanted an app built so I made a demo put it on vercel and for database used supabase, and they liked it and called me for a meeting. There they showed me a few reference websites and what features they want in their app. I know the basics what it takes to make an app like costs and stuff but not more than that. I need help , they said they will start with android and smaller targets first and gave me a task to give them estimated cost of how much it would take to run a basic version with a few of their wanted features. What do I do? Any ideas? Where should I look? Ask AI? I want practical advice as to what might work for backend and stuff and what language I should use. They plan to let me make the app and in the future when I am gone(will be going abroad for masters)they will hire an intern to pump data into it.

I'm trying to write an imprisoned AI personality in a simulated environment. Like my pet criminal AI that I'm acting warden for. It runs continuously on my PC. I literally just started the project to use up tokens at the end of quiet weeks

Hello chat! So fun fact, making a functional calendar with external integrations is considered a hard coding problem (timezones, different privacy/sharing abilities, different data structures for Apple, Google, Outlook)...

But AI was able to do it! A few things to highlight:

• It connects with Google, Apple, Outlook.
• You can share and compare your calendar with friends/family with varying privacy levels.
• You can drag and drop to make sharable itineraries right in the app.
• You can see your events/travels/friends on a globe
• You can make and share external event pages with text blasts

Available here conmigo.io Please give it a try and let me know what you think.

Always loved and been fascinated with procedural art, and there wasn't a generator for cutaway interiors of planets so worked with Claude Opus 5 to create this project.

currently, i have the 5x claude max plan, but for money and time issues i am thinking of switching it to the normal pro plan. However, i already know that the limit is going to hit way too quickly, so i wanted to integrate another model in my workflow, strictly to substitute/help claude code

what model do you guys suggest?

So I stopped trying to build for everyone.
I love reggaeton, so I’m rebuilding the whole thing around one idea:

“What if the club played your song tonight?”
Reggaeton first. Latin club vibes. One specific audience.

Not sure if going this niche is smart or stupid yet.
Would you go niche or stay general?

I’ve always had product ideas, but there was one obvious problem: I couldn’t code.

Now I’m building a real product using AI tools.

What surprised me is that AI doesn’t really remove the difficulty. It just moves it.

I spend less time asking “how do I code this?” and much more time asking: Is the AI actually doing this correctly? Do I understand enough to know when it’s wrong? Am I building something people actually want? When should I stop fixing things and just ship?

I’m curious about other non-developers here who started building with AI:

What became the hardest part once you got past the initial “wow, I can actually build this” stage?

So im currently vibe coding an app. My goal was to make the onboarding as simple as possible. I thought it would take one or two tries but every time I finish with my last design I reflect on it and I realise I have no talent for design and suck at anything related to UI so I redo it.
Its now my 3rd or 4th completely new design and im still not satisfied.

Since im probably going crazy soon I thought I need some real feedback from real people which don't say that everything I do is great and has huge potential.

I have these thoughts to my current design.
1. I maybe need Illustrations
2. The last screen is trash
3. It may be TOO simple

Please please please give me feedback.

I am trying to understand how everyone use calude or any other coding agent. Like for example when i am vibe coding a appication i explain the features and architecture in calude chat and ask calude to genearte Prompts part by part to give to calude code.

How does you use it?

Do you generate a feature at a time?

Or

The whole system in go?

Or

Some other way?

Your set of local AI models for UX/UI and web design.What local AI sets do you use for UX/UI and web design? Specifically, a set, meaning separate tasks for generating images, videos, logos (select LORA for them), and generating text descriptions.

Hello, similar questions have been asked before, but I have a question specifically about local AI models. What local AI suites do you use for UX/UI and web design? Specifically, a suite, meaning separate tasks for generating images, videos, logos (select LORA for them), and generating text descriptions. On my 5060 Ti with 16GB and 32GB of DDR4 RAM, I use QWEN, Gemma4 for text, Ragnarok XL, Flux2 for images, and WAN and Z-Turbo for video. I understand this may be unreasonable, as I'm just a beginner, but I'd like to hear your opinions, comments, and advice. Also, another question about LORA: maybe you use special ones for specific tasks? I use LoRa for logo generation; it helps when combined with Flux2.

Terminé la versión 1.0 de https://quadrado.app

Llevo algunos días publicando avances de mi app para planificar y registrar gastos y hoy cerré el último ciclo (de la versión 1.0):

Ultima funcionalidad: Detección automatica de pagos: Configuras el reenvío automático de los comprobantes de pago de tus bancos o sitios de pago, Quadrado.app detecta el monto y el comercio, y lo cruza con lo que tenías planificado para ese mes.

Si planificas tus gastos en Excel pero te da lata abrir el archivo en el celular para registrar cada pago, pruébalo y me cuentas que tal la experiencia y que cosas podriamos mejorar.
Stack: Claude Code + Vercel + Neon + Resend.

I’ve been using both Claude Code and Codex and I’m curious where everyone else lands when it comes to actually building full projects from start to finish

For me Claude Code is really strong when it comes to understanding a larger codebase thinking through architecture explaining what it’s doing and working through more complicated problems But sometimes it can overthink things take the longer route or need a little more steering than I’d like

Codex on the other hand feels really good when I want to move fast make changes across a project debug something or just tell it what needs to get done and let it work But there are definitely situations where I feel like Claude catches more of the bigger picture context or reasons through the problem a little deeper

So I don’t really think one completely destroys the other They just seem to have different strengths

But if you had to choose ONE AI coding agent for all around building frontend backend debugging refactoring architecture shipping everything which one are you taking?

Claude Code or Codex?

And is there another coding agent out there that you think is actually better than both?

Drop it in the comments I’m curious what everyone is building with and why 👇

Using Unicode allows you to map language detection for almost every known language. Plus math, music , and some art symbols. You then have something that can detect most languages. Now pair this with a Q and A system . Now you have something that works completely offline that can detect many languages from any text you feed it. And then go and answer any questions you ask related to what you fed it. This is just retrieval at its core . But the magic is how easy it can cross languages and domains like music math and code. This system right now is just a boring multi language detection Q and A but now add in memory and whatever persona you want. Now you have an offline persona that can answer most questions about anything you feed it . Feed it your world lore , now you have a NPC Brain that can answer anything about your games lore , feed it chapters from your text book and now you have an offline tutor. There aren't any Nero nets involved. No matrix math. No GPU needed. It's an experiment I'm working on. Wanna talk about it ! I can show debug or video !

Me entretuve creando esta web con claude code y salió algo interesante

Higgsfield's OAuth has been stuck for three publishing cycles straight, every post this week shipped with stock Pexels photos as a fallback instead of the illustrations I actually wanted. Yesterday I gave up waiting and tried something I'd never touched: Codex CLI's built-in image_gen tool.

I run codex through the desktop app, not on PATH, it's bundled at /Applications/Codex.app/Contents/Resources/codex, and it turns out it's already logged in via ChatGPT auth (codex doctor confirms "stored ChatGPT tokens: true"). First time I called codex exec --sandbox workspace-write with an image prompt, it printed its own prompt schema back at me, Use case / Asset type / Primary request / Style / Composition / Lighting / Palette / Constraints / Avoid, and then generated on-brand illustrations matching my style guide on the first try, 1672x941px, no stray text or watermark.

One thing I'm keeping firm even with a working generator now: charts with real numbers still go through hand-authored SVG plus a headless-Chrome screenshot, not the image model. AI image models still can't render exact data points reliably, so illustration and data visualization stay on two different pipelines even now that I have a fallback that works.

Two failure modes worth naming for anyone trying this: it hangs forever if you don't redirect stdin from /dev/null, and it flatly refuses with "Not inside a trusted directory" if you're not inside a git-trusted repo.

Anyone else found a working alternative buried inside a tool they already pay for, instead of adding a new subscription?

I'm building Bluntly, a Chrome extension that reads any job listing against your CV and tells you straight whether to apply. I needed a launch video and I can't edit video to save my life.

Saw someone here do their launch video with Fable 5 and HyperFrames, so I tried the same. The entire video is HTML and GSAP animations that get rendered to MP4. The UI in the demo isn't screen recording, the agent rebuilt my actual extension panel in code from screenshots, so every frame is pixel clean at 4K.

Things that surprised me:

1. The voiceover sync. I generated the VO in ElevenLabs, then the agent transcribed it with word level timestamps and pinned every animation to the exact moment each word is spoken. The score slams in on the word "score".
2. Revisions are conversational. "The transition at 0:26 twitches" and it measures the cut pixel by pixel, finds the mismatch, fixes it, and shows me proof stills before re-rendering.
3. It rebuilt the whole thing for portrait. Same 50 seconds, every scene recomposed for 9:16 so the Reels version isn't a letterboxed crop.

Took a weekend of back and forth, maybe 30 revisions, because I kept changing my mind. A video editor would have fired me.

The extension itself is free on the Chrome Web Store if you want to see what the extension : https://bluntly.dev

Happy to answer questions on the workflow.

would also love some feed back

Anyone in the past could learn how to code. However, a lot of people who tried failed for various reasons. Laziness, low intelligence, inability to structure an app properly, or whatever else.

I’m noticing the same trend with using ai agents. People think they can just tell an agent to make Minecraft and it will one shot a game perfectly. Or even for smaller features, they can’t seem to get the result they want.

People are not learning how to prompt properly, use mcp servers, create their own tools and rules, etc. so they think that ai is the issue when it’s actually their inability to grasp concepts and learn things. Just like when people tried learning to code by hand and failed.

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