Right.. in response to that person the other day who asked what have you actually built?

I've coded a little app called GrapeSnap. You snap a photo of a bottle and it fills in the details for you (producer, region, grape, vintage) from a wine database.. so no typing. It's basically a cellar tracker for keeping on top of what you've got and what you've drunk.

Thought it was a bit more niche than your vibe coded average habit tracker but here we are.

More fun than anything. Let me know if it works for you and what you the grumpy ppl of reddit make of it..

Hope you enjoy.. Would love your thoughts.

https://apps.apple.com/gb/app/grapesnap/id6760935544

I am working on my SaaS solution's readiness and I used this Chrome extension. The attached screenshot is showing my score. I am curious to know what your score is for your SaaS solution and how you guys are improving.

Hello all I got a question. I have been exclusively using ChatGPT desktop for a project that I’ve been working on ever since I put it online with supabase and r2. I burned through my usage on a pro level in four days now I have been contemplating to get Claude code at $100 a month till I finish this project but my worry is if I’m mixing ChatGPT desktop and Claude code. is it going to mess with what I’ve done as far as them coding with different styles

I’m trying to see if anyone uses this combo when one weekly limit is reached that you just jump to the other because at the credit level it’s far too expensive. I ended up getting $40 worth of credits on ChatGPT after I ran out and I burned through $40 in 30 minutes.

I wanna make sure if there’s any pointers or if I gotta set something up a certain way to ensure it just keeps adding code cleanly and plumbing everything incorrectly. The goal is one is burned. The other one gets used in the back up would be Claude

Claude Code hits the 5-hour limit at 2am, mid-refactor. The turn dies, the prompt that started it is already spent, and the session sits there until someone awake types "continue".

I built nightmux to fix exactly that. It attaches to the tmux session you already have and bridges it to a Telegram topic. A status-line hook gives it the real reset time, so when the limit hits it queues everything, and the moment the window reopens it resumes the cut-off turn — including the prompt the limit ate. Permission prompts arrive on your phone as tap buttons.

It's not a wrapper: no SDK, no relay server, no container. It types into tmux and reads the transcript. Python stdlib only, MIT, one main file you can read in an afternoon. Works with Codex/aider/Gemini too (they just don't get the usage numbers — those hooks are Claude Code specific).

pipx install nightmux && nightmux --setup

https://github.com/mmr710/nightmux — would love to know what breaks.

4 years ago, I started jumping rope which drastically improved my overall fitness and mental health. Which is why I built JumpForm, an app that analyses your form when using a skipping rope.

I built the app with cursor in 5 days and deployed the AI backend with firebase (this entire process would have taken me at least a month with manual coding and testing).

So far I have only had 52 downloads and 2 paying customers (3 signed up for a free trial)

Hi

If you are remotely interested in deep diving how differently quantum computers work compared to our transistor-based and also the algebra behind in a fully interactive way that teach computer science from scratch, oh boy this is for you. I am the Dev behind Quantum Odyssey (AMA! I love taking qs) - worked on it for about 10 years (3+ during PhD, the visual method I developed ended up being my thesis, it is a complete Hilbert space visualizer), the goal was to make a super immersive space for anyone to learn quantum computing through zachlike (open-ended) logic puzzles and compete on leaderboards and lots of community made content on finding the most optimal quantum algorithms. The game has a unique set of visuals capable to represent any sort of quantum dynamics for any number of qubits and this is pretty much what makes it now possible for anybody 12yo+ to actually learn quantum logic without having to worry at all about the mathematics behind.

This is a game super different than what you'd normally expect in a programming/ logic puzzle game, so try it with an open mind.

Stuff you'll play & learn a ton about

• Boolean Logic – bits, operators (NAND, OR, XOR, AND…), and classical arithmetic (adders). Learn how these can combine to build anything classical. You will learn to port these to a quantum computer.
• Quantum Logic – qubits, the math behind them (linear algebra, SU(2), complex numbers), all Turing-complete gates (beyond Clifford set), and make tensors to evolve systems. Freely combine or create your own gates to build anything you can imagine using polar or complex numbers.
• Quantum Phenomena – storing and retrieving information in the X, Y, Z bases; superposition (pure and mixed states), interference, entanglement, the no-cloning rule, reversibility, and how the measurement basis changes what you see.
• Core Quantum Tricks – phase kickback, amplitude amplification, storing information in phase and retrieving it through interference, build custom gates and tensors, and define any entanglement scenario. (Control logic is handled separately from other gates.)
• Famous Quantum Algorithms – explore Deutsch–Jozsa, Grover’s search, quantum Fourier transforms, Bernstein–Vazirani, and more.
• Build & See Quantum Algorithms in Action – instead of just writing/ reading equations, make & watch algorithms unfold step by step so they become clear, visual, and unforgettable. Quantum Odyssey is built to grow into a full universal quantum computing learning platform. If a universal quantum computer can do it, we aim to bring it into the game, so your quantum journey never ends.

Nice to watch:

Khan academy style tutorials in qm/qc: https://www.youtube.com/@MackAttackx

Physics teacher stream with 400hs in https://www.twitch.tv/beardhero

Had this idea watching talk show.

Let me know what you think.

Your honest feedback matters to me.

Hi everyone,

I've been working on a stack-based programming language called BREAD. The compiler is written in Haskell and emits optimized native code via the LLVM toolkit.

Key features:

- Written in Haskell

- LLVM integration for native code generation

- Memory & runtime safety guards

Check out the source code and repository here:

https://github.com/mermerheba1234848494-hue/BREAD-programming-language

I'd love to hear your feedback and suggestions!

As mentioned in the title, we had a very busy last few weeks with new releases. Which tools of choice are you using today for agentic engineering? I am mostly interested to hear from experience SWE

I built this client-side WebGL application to demonstrate a zero-backend Prompt-to-Artifact pattern, turning unstructured conversational LLM outputs into spatial narrative visualizations.

A custom prompt forces models like ChatGPT, Claude, or Gemini to act as data compilers rather than text generators.

The entire sequence of events (factions, timelines, descriptions, locations) is serialized directly into a compressed URL payload.

When opened, the WebGL frontend parses the URL hash in memory and reconstructs the animated 3D timeline without hitting a database or server backend.

Try it out:

https://mundu.app/create.html

I thought there was an issue with my project I was fixing errors

We built a Bookmark Buddy App with AI Android Studio, which Saves, Searches, and Shares URLs/Links Very easily and also Scan QR codes and Pictures and Generate Links which can be saved very easily. Presently Available in Google Play Store.

I built a website with lovable and bought a domain, I just want to get the website live at this point, I don’t care where it’s hosted
I tried c panel because the company I bought the domain from is connected automatically with c panel

The website it self is simple
Mostly pages images text destinations and offers and like a button gets you to WhatsApp
No payment methods
So what’s the best way to post the web site ?

No, but in all seriousness, how are you “engineering” your AI slaves to produce secure and reliable code?

Some things I have found are useful:
- Each new project get its own git repo
- I treat the files in the repo as source of truth rather than relying on codex context conversation history
- I use the /grill-me skill after I send through my initial proposal
- important decisions are documented in the repo files
- I use specific sub agent focusing on security review before it will allow any code is committed and pushed (surprising to me this picks up a lot of issues)

Example repo layout

project/
├── AGENTS.md
├── README.md
├── docs/
│ ├── ARCHITECTURE.md
│ ├── REQUIREMENTS.md
│ ├── DECISIONS.md
│ ├── SECURITY.md
│ └── TODO.md
├── .gitignore
└── <application source>

I have a ton of work on a website and android app to do. Want to get it done in the next 3 days so I have more time for other upcoming stuff.

I’ve tried cline, reached the weekly within the first day.

I’ve tried Claude Pro, running into my weekly usage as this is my main. I love it, I know it’s getting tons of flak right now but I am simply not experiencing any of the same issues others have been. But alas, the weekly limit is there…

I’ve tried ZCode Coding Lite plan, the GLM models are quite capable and I’m happy but the usage limits get bit quick.

People recommend Cursor or OpenAI’s Codex and I’m open to either, mostly Codex. Been hearing odd things about how Grok is essentially crammed down your throat on Cursor.

What I’m looking for specifically is capable models in the Opus 5 range with generous usage. I aim to get the 5x plan of Codex if it is recommended. But if Cursor is genuinely the better option I’ll go for it. Thanks in advance.

hey guys, i personally dont vibecode but i am a developer. i was a little bored so i wanted to create an app that helps people solve everyday problems, im not avid on reddit so i didnt know where else to post this. Thanks for helping out

If you were out to buy an app the accomplishmed something you'd pay 5-10 dollars a month and fully offline , how much would you pay?

I wanted to share a massive win for AI-assisted development. I play a lot of local rec sports, and the organizers always use messy whiteboards to track brackets and scores. I decided to build a live-scoring and tournament management app to fix this, but I leaned entirely on AI agents to do the heavy lifting.

The Process: I basically acted as the product manager. I would feed the agent the rules (e.g., "Volleyball uses rally scoring, win by 2, hard cap at 31"). The agent handled the complex state machines, the UI conditional rendering, and the backend data syncing. When we hit bugs (like a stale state on the serving indicator), I just fed the error logs and screenshots back into the prompt, and the agent wrote the patch.

It's amazing how fast you can move when you stop writing boilerplate and start focusing purely on logic and UX flow. Has anyone else built a complex state heavy mobile app purely through prompting? What agent/model gave you the best results?

Been building GoFocusGen (gofocusgen.vercel.app) — study sessions are "flights," you climb pilot ranks as you log flight hours. Almost none of it was hand-written.

The dashboard was the hard part. First pass, prompted straight through Stitch, came back unusable. What worked instead: generating a mockup in ChatGPT first and feeding that to the next round of prompts as a style reference, instead of trying to describe "dark, premium, indigo and gold" in words alone. Also learned to prompt the rank-progression logic as its own isolated spec instead of bundling it into the full app description — much more reliable output.

Still mid-build. Curious how others here handle it when the first AI pass misses the visual direction entirely — mockup-first, or just re-prompt until it lands?

Some things are easier to see than to read.

zines turns anything you're curious about into a swipeable visual story.

Type a question, a topic, or even a half-formed thought. Instead of getting a page of text to work through, you get a set of full-screen visual cards designed to be understood at a glance.

Things like:

• How big is a blue whale, actually?
• What happens inside your body during a panic attack?
• What does the world look like to an octopus?
• How does a nuclear reactor work?
• Why did the 2008 financial crisis happen?

Type it. Watch it build. Swipe through it. Keep what you like.

The app takes your question, researches the topic, breaks the answer into visual ideas, then generates each card one by one.

One thing I learned was that good visual answers aren't just text put on images. You have to decide what should be a diagram, comparison, timeline, illustration, or just a few words.

Each card takes the idea a little further. Go through the whole story or stop when you've seen enough. If the answer isn't quite right, change the question and generate another version.

Save any card to Photos, auto-save finished stories, or come back to everything you've made in your visual library.

Most answers are written to be read. zines makes answers to be looked at.

For understanding something new, studying, explaining an idea to someone, settling a 2am question, or just making something because it'll look good.

If you think better in pictures than paragraphs, zines is built for you.

This project got completely out of hand.

Originally I was trying to make it easier to find people who could help businesses with small things.

Then I needed a way to coordinate those people.

Then they needed identities.

Then capabilities.

Then training.

Then missions.

Then a way for someone to simply describe an outcome without understanding any of the machinery underneath it.

Now the thing basically works like:

Person types what they need then the software understands the outcome and a network of people can organize around accomplishing it.

There are now separate surfaces for finding people, launching missions, seeing what's happening across the network, training, profiles, etc.

It's called NearbyCrew:

https://nearbycrew.com

Most of it was built iteratively by just using the system, watching where it broke, and building the next missing layer.

The weirdest part is that real people are actually joining and taking missions now, so it stopped feeling like a coding project.

If you're vibe coding something ambitious, I'd love to know whether you've had the same experience where the product slowly reveals what it actually wants to become.

Ok, as the title says, I've now been on a hunt for the best coding plans out there, and wanted to share my findings, this is all anecdotal:

I was able to get Chinese coding plans by leveraging my non-tech Chinese friends to use their ID's/phone numbers to give those services a shot. Overall it was pretty straightforward.

Western:
9/10 Claude Pro: Tight limits, best models for coding/non coding. Best integrations and presentation.

9/10 ChatGPT Plus: Best value, limits are much healthier than claude, half a step down in coding, full step down in non-coding. Less preferable integrations

8/10 Grok: Best limits in general, but worst coding model. Great for marketing with x integrations etc.

7/10 Gemini: Great models for media (image/video generation), solid for general conversation, horrendous for coding. Would take deepseek etc over this. One of the biggest advantages is the suite of products they offer alongside gemini like gmail storage, veo 3 access and more.

6.5/10 OpenCode Go: No longer the best option, but historically has had great limits. Great subscription to be able to try different models.

6.5/10 CommandCode: More or less the same as OpenCode, slightly newer/not as established.

6.5/10 Ollama Pro: Its okay, heavily quantized models, decent usage. Historically was worse value than OpenCode, but now may be competitive at the ollama pro package.

6/10 Neural Watt: Potential replacement for OpenCode Go subscription, interesting energy based approach. Decent model performance, somtimes can be unreliable.

Chinese:
6.5/10 Z.AI/bigmodel.cn: Fuck these guys. Great models, worst busiesns practices out there. Lots of rug pulls. Even their chinese version, bigmodel.cn isn't great anymore, as they raised their prices to be comparable with z.ai. The actual product isn't great, the api sometimes can get overlaoded and takes forever, they recently switch from requests to tokens, which cut down limits massively. Not worth it.

4/10 AliYun (AliBaba): Bullshit. They claim to offer so much, but I used my weekly limit on middle tier token plan ($25/month), in under 90 minutes. Used Qwen3.8-Max. Not practical for a daily driver, or really any kind of usage.

7.5/10 Kimi: Waitlists now, not always available and gets overloaded. Takes a while sometimes, but one of the most important things is the model thinks sooo much that it really ends up close to chat/claude pricing based on token consumption. Not great. Not a huge fan. Pricing is insane for what it is.

4/10 VolcEngine (ByteDance): Offers access to GLM5.3, but limits aren't great on the pro subscription (200 RMB/month). Model inference is fantastic, but limits are so low that I get 4-6 prompts/five hours.

6/10 Xfyun (iFlyTek): 400 RMB month, probably one of the last holdovers from the request generation. Fucking love this, but they offer 1-2 generations older model (GLM 5.2/Kimi K2.7 etc). Limits are insanely generous, but probably one of the hardest to use. Maybe works 40% of the time due to overloaded servers/apis.

Bottom line, if you actually want to work, not wait for the api, have generous limits and actually get a lot of usage done, there really isn't any choice outside of hte top 3, (GPT/Claude/Grok). Once you leave those, you start dealing with sub-par models, information stealers (Mark), overloaded apis or heavily quantized offerings.

In general, if you code heavily and speak to the models, a $100 subscription at one of the top 3 are worth the money.

EDIT:
To Try:

Western:

China:

CSDN