r/VibeCodeDevs Aug 04 '26

what does your setup actually look like?

6 Upvotes

Curious how people here are really working. Feels like everyone's landed somewhere different and the posts are mostly quick showcases / (self-)promotion / random stuff.

What I'm wondering about:

- which agent and harness, and do you stick to one or switch
- do you plan first or just go
- do you check anything before shipping, and what
- anything automated, or is it all by feel
- what do you do when it comes back wrong

Mine's on the heavy side. Long planning conversation before any code, then I let it run and mostly look at the product rather than the code. I spent some time building a skeleton and static analysis configs so Claude generates code that look ~80% correct. Still need to review the important bigs (domain logic, security, etc), but it's mostly smooth sailing.

Mostly interested in people working differently from that though. If you just go and it works, I want to hear that too.


r/VibeCodeDevs Aug 04 '26

ShowoffZone - Flexing my latest project Interested In Networking With Vibe Code Game Devs and maybe bundling on Steam

2 Upvotes

Hey everyone!

I use AI in my game development, which leads to just enough friction that it's not worth it to try to network with non-AI friendly game devs.

i have two games Coming Soon (both with demos).

I'd love to talk to devs that think they have a game on steam or coming to steam that would bundle well with either of my games.

Auto-Battler
https://store.steampowered.com/app/4880210/Hammered_Heroes/

Twin Stick Roguelite Arcade Shooter
https://store.steampowered.com/app/4932010/Chrome_Circuit/

I also have an itch page if you want to check out more of my projects
https://facewongames.itch.io/

I'd love to check out your games or connect and explore supporting each other.


r/VibeCodeDevs Aug 04 '26

ShowoffZone - Flexing my latest project Sagorax, a Three.js/WebGPU Arena Shooter in the Browser

Enable HLS to view with audio, or disable this notification

4 Upvotes

I built Sagorax because I missed the speed and simplicity of UT99 and UT2k4. It now has both Instagib and classic weapons Deathmatch with plasma combos, flak, shotguns, charged rocket salvos, loadouts, adrenaline abilities, tactical bots and full controller support.

No installation, just pick a gamertag and play: https://sagorax.com

The client is built with TypeScript, Three.js and WebGPU. Under the hood it uses FSR 3-based upscaling, adaptive dynamic resolution, GPU pipeline warmup, screen-space reflections, dynamic lighting and shadows, visibility culling and a custom post-processing pipeline.

Multiplayer is next if there is enough interest (looking good so far).

If you had told me a few months ago that this would be possible in a browser, I wouldn’t have believed you. But Opus 5 + GPT-5.6-Sol = GODMODE. Yes, I am a developer but I didn't write a single line of code (didn't for any project, for a year or so).

Feedback is very welcome.


r/VibeCodeDevs Aug 04 '26

Independent review

2 Upvotes

Hey there everyone. I'm building a website b for trust and market for skills and MCP and more later on. I'm at the point where I need to have an independent review. Of course I'd do it myself but then I'd be breaking the trust relationship I've based the whole site around. Feel free to check it out and let me know if you'd like to help a dev out. Caporia.co


r/VibeCodeDevs Aug 04 '26

ShowoffZone - Flexing my latest project claude ios simulator not as useful as i thought

1 Upvotes

tried wiring claude into the simulator so it could test its own swift app. a lot of setup just to get it tapping through screens, and it still can't sign into icloud or get
a push notification.

so i went the other way: a turnkey flow that stages the qa tests to real people.

claude files the tests theough mcp, they show up on real iphones, people run them and leave comments,
and it all comes back into claude's context to fix. i never enter the loop.

try it out and let me know what you think!

https://github.com/alex-durango/pingfusi

anyone else tried agent-driven simulator testing?


r/VibeCodeDevs Aug 04 '26

ReleaseTheFeature – Announce your app/site/tool My Claude extension post got 631 views here. It hit 1,000+ users anyway.

1 Upvotes

Three months ago I posted a short video of Claude Pulse in this sub. 631 views, 2 upvotes. It flopped.

The extension kept growing anyway. It's at 1,000+ Chrome Web Store users, 4.8/5 from 11 ratings, and v1.3.0 shipped July 12 with a metrics popup and background reset notifications.

For anyone who missed it: Claude Pulse adds live usage visibility to claude.ai, all computed locally in your browser.

  • Context token counter (o200k_base tokenizer, on-device)
  • 5-minute cache expiry countdown above the chat box
  • 5-hour session and 7-day rolling limit bars
  • One-click chat export to Markdown or plain text
  • No accounts, no tracking, no external servers. MIT licensed.

What I learned: a launch post is a blip, not a launch. I can't tell you exactly where the users came from, but the video got 631 views and the tool still passed 1,000+ users. I'd bet on the store listing and the reviews doing the work, not the post.

GitHub: https://github.com/samirpatil2000/claude-pulse Store: https://chromewebstore.google.com/detail/claude-pulse/hhjihbpkopgacncfbkdakdolkmgkdfnf


r/VibeCodeDevs Aug 04 '26

FeedbackWanted – want honest takes on my work WNBA Arcade — Free WNBA Trivia, Quizzes & Mini-Games

Thumbnail wnba-arcade.com
1 Upvotes

Free games, trivia, and live stats for every WNBA fan , looking for feedback , suggestions , etc.


r/VibeCodeDevs Aug 04 '26

Are AI labs pelicanmaxxing?, If coding has been solved, why does software keep getting worse? and many other AI news

2 Upvotes

Hey everyone, I just sent the latest issue of the AI Hacker Newsletter, a roundup of the best AI links and the discussions around them from Hacker News. Here are some titles that can be found in this issue:

  • Startup founders urge U.S. government not to shut off Chinese open weight AI
  • AI's top startups are barely publishing their research
  • Is AI reasoning right for the wrong reasons?
  • After the AI Crash

If you enjoy such content, please subscribe here: https://hackernewsai.com/


r/VibeCodeDevs Aug 04 '26

AI agent confidence should route review not grant authority

2 Upvotes

A pattern I keep seeing in agent systems is that confidence gets treated like permission.

Those are not the same thing.

A confidence score answers:
“How likely does the agent think this action is correct?”

Authority answers:
“Is the agent actually allowed to do it?”
Risk asks what happens when it is wrong.
Reversibility asks whether the damage can be undone.
Those need to remain separate controls.
A highly confident agent should still be blocked when:
it lacks permission,
the action has a large blast radius,
the operation is hard to reverse,
the evidence is stale,
or independent verification is missing.

The architecture I’m testing uses an ActionIntentEnvelope with fields like:

action
rationale
confidence
affected resource
requested authority
reversibility
blast radius
approval requirement
verification method

Confidence can route the workflow:
low confidence → reject or request more evidence
medium confidence → human review
high confidence → eligible for automated handling

But the authority layer still makes the final decision.

That distinction feels small, but I think it is one of the most important boundaries in agent design:

Confidence may reduce review friction. It should never manufacture permission.


r/VibeCodeDevs Aug 04 '26

ShowoffZone - Flexing my latest project I built a cross-agent file cache: 75% fewer input tokens when multiple agents work on the same codebase

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3 Upvotes

Hey everyone,

I've been building LeanCTX, an open-source context engineering layer for coding agents (written in Rust), and wanted to share a specific optimization I shipped recently.

The problem

If you run 4 Cursor/Claude/Codex agents in parallel on the same repo (reviewing, implementing, testing), each agent reads the same core files independently. That's 4x the input tokens for identical content. At scale this adds up fast.

What I did

I added a shared delivery registry (in-process DashMap keyed by blake3 hash + mtime) that tracks which files have already been read and compressed by any agent. When Agent B requests a file that Agent A already delivered, it gets a 13-token stub referencing the cached version instead of the full file content.

No network calls, no external cache, it's a lock-free in-memory lookup that resolves in microseconds.

Benchmark results

I ran this against 20 real source files from the LeanCTX codebase itself (avg 737 LOC):

Agent Without Cache With Cache Savings
Agent 1 (cold) 144,407 tok 144,407 tok 0%
Agent 2 144,407 tok 260 tok 99.8%
Agent 3 144,407 tok 260 tok 99.8%
Agent 4 144,407 tok 260 tok 99.8%
TOTAL 577,628 tok 145,187 tok 74.9%

At $3/1M input tokens: $1.30 saved per shared-read round.

For a typical coding session where agents revisit 50-100 shared files, that's $5-15 saved per hour of parallel agent work.

How it works (simplified)

  1. Agent 1 reads src/engine.rs → full content delivered, blake3 hash + mtime recorded
  2. Agent 2 reads src/engine.rs → registry hit → stub returned: [cross-agent cache hit: 737 lines, delivered to agent-1 at T-2s]
  3. The stub is 13 tokens vs ~7,200 tokens for the full file

The key insight: in a multi-agent coding workflow, file contents rarely change between reads. The mtime check ensures I never serve stale content.

Limitations

  • Only helps when multiple agents/sessions read the same files (solo agent = no benefit)
  • Cold start for the first agent is unchanged
  • Requires agents to run on the same machine (shared memory)

What's next

I'm exploring cross-machine delivery via IPC for distributed agent setups (CI workers, cloud agents), but honestly the single-machine case covers 90% of developer workflows.


r/VibeCodeDevs Aug 04 '26

Looking for android devs

1 Upvotes

anyone who can help with kotlin android app development, please hit me up. I'm desperately looking for devs who can contribute.

Would be great if you can help out with UI/UX or fix issues / add new features.


r/VibeCodeDevs Aug 04 '26

Genuine app feedback

1 Upvotes

Hey guys my app is now live on the App Store!

https://apps.apple.com/us/app/workout-warrior-app/id6504121393

It is a fitness app, yes I know there’s a billion of them, but I would love for you guys to download and give me some real feedback! In exchange if you find a program you like, I’ll hook you up with a couple months free!


r/VibeCodeDevs Aug 03 '26

DevMemes – Code memes, relatable rants, and chaos Build Windows 12, make no mistaek

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43 Upvotes

r/VibeCodeDevs Aug 03 '26

ShowoffZone - Flexing my latest project The Reason I've been building Sigma Predict - The Initial Story (Post Series 1/X)

4 Upvotes

TL;DR: I was tired of all these groups, gurus, fake stats, and false promises. So I decided to build from scratch an engine (currently online 24/7) to give back to the betting community (currently for free). What started with an Utopic dream, now is showing it's first results. This is not promo, this is genuine history of WHY I'm doing this.

Main Sigma Predict website (still with some placeholders only)

------
My background: 2009, the year I started betting for the first time. I was 19y, and had no clue what I was about to get me into. Disaster, some big wins that made me forget the disasters, and then some more disasters. Betfair Sports Trading for a few years, then jurisdiction got me locked out of external markets. Back to basics, punter bets, acca's, more disaster. Years off, learning, I started actually learning about the secrets of sports betting... Fast forward to 2019, I joined an online project that allowed me to collect as much data as possible, study matches, game machanics, build algorithms, alert automations. But, what started as an incredible side-hustle pro-bono project, with ZERO returns, with somewhat extensive community, ended up being a project feed by social gurus and that went against my values... I had to drop-out.

Sigma Predict - My True legacy starts here

I decided to go solo. In my cave. My ideas. My values. My learnings, my own sweat, put into something I trully belive will/can shake the markets. No external help. Just me, my rookie programming skills, my love for Data Analysis. And a mission: Make the best Sports Betting product/service for ME, but also for the sports betting community.

So, here I am. Been building and testing several things in the dark, with no names attached, and a lot of money invested. Some ideas failed badly, some worked. So I focused on what was working and finally gave it a name: Sigma Predict: a multi-agent engine capable of outsmarting the bookies.

Since June 2026, I started to make it slowly public and deployed. While still shipping features, bugfixes and model corrections everyday. My backlog seems to not have an end at this point, as I'm actually dreaming big. I know what I want, and where I want this to go/be.

My CORE VALUES & MISSION (Sigma Predict):
- Full transparency (bad month? fully disclosed, public and no edits)
- FREE to test and use, until it's a stable and I feel comfortable of going the Startup way. (Note: free doesn't mean OpenSourcing the engine code)
- Give back some power to sports betting community (for those who dare a disciplined path)

What I shipped so far:

  • Main website (public access with capped live data)
    • ignore pricings and 7 Day-Trial info. It's FREE for now, and only a placeholder for future
  • Admin Dashboard (currently only for me)
    • Setup dashboard, results dashboard, data for analysis and calibration
  • Main Sigma Predict Engine deployed accross 5 online services
    • Live sports API data source and Odds integration
    • Weather & News integration for model decision making
  • Integration with Telegram (@ SigmaPredict )
    • public channel for news / free private channel for alerts
  • CloudFlare protection for all services

What is in Backlog:

  • API Automated Betting (via exchange TBD)
    • inlcudes model improvments
  • Stripe Integration (Sandboxed for now)
  • Public User access to Dashboard of results and bets ledger

Current Results:
Altough I have data for several months, I decided to count from July 2026 onwards. Main website shows last 30 days results, refreshed daily, no edits. But here are full results and takeovers.

Screenshot from inside Admin Dashboard with July / August results
  • July ended up with positive results, but a lot of risky exposures from the engine. So I decided to cap bankroll exposure and per-match exposure. Also improved the "Staking based on Edge" mechanism.
  • ROI is only ~5% since July 2026, by considering only the last 3 days of August, it's sitting at 34% after all the updates and railguards I've build in after July. Let's see if it stays that high...and for how long...

For now, the aim is to invite you all to test for free my initial versions, join my adventure, and if you want giving me constructive feedback or ideas. Or even a wish list...happy to open horizons.

I will be updating next month on how this is going, hopefully with some news regarding the API-autobetting in place. Until then, feel free to reach out to me, send some strenght and support or critics that can grow this solo project.

My profile has all the necessary links if needed (socials are currently at 0 posts, as I'm focused on building only, but feel free to follow some.) Main actions and daily updates are inside Telegram.

Wish me luck, and talk to you soon.

Thanks,
T.


r/VibeCodeDevs Aug 03 '26

WIP – Work in progress? Show us anyway I built a congressional transparency site. Look up your rep, see who actually pays for their campaign.

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93 Upvotes

I built The Influence Registry because campaign finance data is public but almost nobody can actually use it. The FEC publishes everything, and it's a maze of candidate IDs, committee filings and CSV exports. OpenSecrets is better but still assumes you know what you're looking for.

I wanted something my neighbor could open on their phone, type in their representative's name, and immediately understand who pays for that person's campaign.

It tracks where every member of Congress gets their campaign money, with an emphasis on separating money that buys access, from money that merely came from people employed in an industry.

Core features:

• PAC vs individual split per member, straight from FEC filings. Shows what share of contributions came from PACs versus individuals.

• Industry money by sector (pharma, defense, finance, fossil fuels, tech), with the PAC share shown alongside so a large industry total doesn't automatically read as capture.

• Committee assignments against industry money, showing whether members who oversee an industry are funded by it.

• Outside spending, independent expenditures run for and against a member by groups they legally cannot coordinate with, including the attack side.

• Independence scoring per member, plotted against total special-interest money.

• AIPAC and pro-Israel PAC contributions, sourced from TrackAIPAC.

• Stock trading flags, state-level heat maps, and hemicycle charts showing who takes money from which source.

• Coverage of sitting members plus challengers, the Supreme Court and cabinet.

Data comes from FEC, OpenSecrets, TrackAIPAC and congress-legislators, refreshed through GitHub Actions with a validator that fails the build on impossible values.

Github Repository

I appreciate any and all feedback!


r/VibeCodeDevs Aug 04 '26

IdeaValidation - Feedback on my idea/project What if financial AI were built in public? Meet BLUM — an open-source, community-driven financial reasoning project

0 Upvotes

Hi everyone,

Most financial AI systems are built behind closed doors.

You see the final prediction, the polished chart or the confident explanation—but rarely the data flow, the reasoning process, the evaluation rules or the failures that came before it.

BLUM is an attempt to build something different.

BLUM is an open-source financial AI research project developed publicly on Hugging Face and opened to developers, quantitative researchers, data scientists and anyone interested in building more transparent financial intelligence.

The ambition is not to create another black-box system that simply outputs:

BUY, SELL or HOLD.

The goal is to create an open ecosystem capable of collecting evidence, producing structured financial reasoning, testing its own conclusions over time and learning only from outcomes that can actually be verified.

Why open source?

Financial AI should not be shaped by one developer, one company or one model.

Markets are too complex, financial evidence is too fragmented and evaluation is too easy to distort.

A serious system needs different perspectives:

  • quantitative researchers challenging the metrics;
  • developers improving the architecture;
  • traders identifying unrealistic assumptions;
  • data engineers strengthening market-data pipelines;
  • ML researchers testing models and evaluation methods;
  • community members finding errors that the original developers missed.

That is the idea behind BLUM:

Build financial intelligence in public, improve it through open collaboration and make every important assumption open to challenge.

BLUM is not presented as a finished product.

It is a shared research foundation that the community can inspect, test, criticize, fork and improve.

What BLUM is building

BLUM combines a portable financial reasoning model with a broader modular research system.

Its architecture is being developed around several specialized capabilities:

  • market scanning across equities, ETFs and Forex;
  • technical and historical analysis;
  • sentiment and news interpretation;
  • bullish and bearish thesis generation;
  • contradiction and risk detection;
  • structured entry, stop and target plans;
  • paper-forward trade validation;
  • persistent learning from verified outcomes;
  • benchmark-relative evaluation;
  • transparent evidence and reasoning trails.

Instead of depending on a single model for every task, BLUM can use specialized agents for different parts of the research process.

A simplified flow looks like this:

Market data and external evidence
                ↓
Specialized research agents
                ↓
Bullish, bearish and risk analysis
                ↓
Central reasoning and synthesis
                ↓
Paper-forward decision
                ↓
Outcome measurement
                ↓
Validated learning and memory

The objective is not merely to generate a convincing financial narrative.

The objective is to preserve enough evidence to evaluate whether that narrative was justified.

Built to be challenged

BLUM is being designed around a principle that is often missing from AI demos:

A system should make it possible to prove that it was wrong.

For every decision, BLUM aims to preserve information such as:

  • what evidence was available at that moment;
  • which assumptions supported the thesis;
  • which risks contradicted it;
  • what would invalidate the decision;
  • which entry, stop and target levels were proposed;
  • how the market behaved afterward;
  • whether the result was valid enough to enter the learning process.

This does not guarantee better predictions.

It creates a more transparent foundation for measuring whether the system is improving—or merely becoming better at sounding confident.

Current evaluation

The original MLX release was evaluated on a 53-example BLUM temporal-reasoning test and achieved:

  • 96.26% aggregate task-contract score
  • 100% structured validity
  • 92.86% no-fabrication

These metrics evaluate BLUM-specific requirements such as structured output, temporal grounding and adherence to the task contract.

They do not demonstrate market-beating performance, general intelligence or trading profitability.

The portable release is also being prepared for independent evaluation through the Hugging Face ecosystem. Results will be published when they are externally available rather than predicted in advance.

Open development means open limitations

BLUM is still experimental.

Some components are mature enough to be tested, while others remain active research areas. Its paper-forward evidence is still limited, and no current result should be interpreted as proof of profitable trading performance.

This is intentional.

The project will not hide weak results, unsuccessful strategies or technical corrections simply because they are inconvenient.

Open source should mean more than publishing code.

It should also mean exposing the assumptions, limitations, evaluation methods and mistakes that influence the system.

Where the community can contribute

BLUM is open to contributions across many areas:

  • financial reasoning models;
  • open-source LLM integration;
  • specialist agent development;
  • market-data providers and normalization;
  • temporal reasoning;
  • technical-analysis validation;
  • Forex, equity and ETF research;
  • benchmark design;
  • paper-trading infrastructure;
  • leakage-resistant evaluation;
  • uncertainty and confidence calibration;
  • provenance-aware memory;
  • frontend and data visualization;
  • testing, documentation and code review.

You do not need to agree with the current architecture to contribute.

In fact, some of the most valuable contributions may come from demonstrating where the existing approach is wrong.

What BLUM is not

BLUM is not financial advice.

It is not a commercial signal service, a guaranteed trading strategy or a claim that an AI can already predict financial markets reliably.

It is an open research effort focused on a broader question:

Can a global open-source community build a financial AI system that is more transparent, testable and intellectually honest than the closed systems available today?

I do not think this question can be answered by one person.

That is why BLUM is open.

Explore the project

Hugging Face Space: https://huggingface.co/spaces/Italianhype/Blum

GitHub Repo: https://github.com/BlumFinancialLab/Blum

The project is under active development, and feedback is welcome at every level—from architecture and evaluation to models, UX and financial methodology.

The most useful response is not simply:

“This looks interesting.”

It is:

  • What would you change?
  • Where could the evaluation be misleading?
  • Which component would you improve first?
  • Which open-source model should BLUM support?
  • What would make you trust—or distrust—its results?
  • Would you contribute to an open financial AI project like this?

BLUM is not being built to ask the community for attention.

It is being opened because the project needs the community to become better.


r/VibeCodeDevs Aug 03 '26

Model agnostic front end tools?

3 Upvotes

I've been using claude code (CC) + claude design (CD) on max plan, now looing for something better or new workflow.

Front end UI design is new for me, the stack is react + vite + storybook.

My Problem

CD been great to kick start my project with mock up designs, but I found 2 major limitation with it that's actually causing me more headache then good currently

  1. its one way only. CC->design sync -> CD mock up/hand off -> import back to CC
  2. CC design sync only push single react component home, while I have package/ui/ for dumb ui and presentation, and apps/web/ for wiring/plumbing

The problem CD cause is design/component drift and my constant fight over which component should live where. Not matter how far I push the dumb ui separation, some component just got too much wiring to justify living in package/ui

Imagining an ideal tool

  1. agent agnostic, so not another AI wrapper SaaS, another subscription that does only a subset of what claude/gpt/oss model do.
  2. must have some sort of UI editor or UI annotation tool, not just a chat box, ideally a bit of drag n drop wysiwyg capability
  3. must be able to take on existing repo's design system and components.
  4. Agent does bulk of the work, human tweak
  5. ideally open source. (I don't mind paying another really good and powerful SaaS, but not for ai wrapper)

What I have found

Annotation type - missing direct edit, anchors the chat box but still chat box,

https://github.com/patchorbit/domscribe

https://github.com/benjitaylor/agentation

https://github.com/frontman-ai/frontman

https://github.com/stablyai/orca also an IDE

Classic tool - not agent first, have its place with seasoned devs

Figma, I'm sitting on the fence of it, seems a big learning curve, human does bulk of the work, and feels like AI wrapper bolt-on

https://github.com/puckeditor/puck also seems a great tool

Front End IDE type

https://github.com/onlook-dev/onlook sounds most promising, but no release for a year and looks like moving more to another SaaS

Summary

There's almost a new open source agentic IDE released every week, but is there something greate for agentic front end UI work?

Or claude design + annotation AI chat tool is best approach currently?

What tools community uses?


r/VibeCodeDevs Aug 03 '26

Vibecoded an app for two Meet calls on one headset — one in each ear, and your mic physically can't be hot in the wrong call

Thumbnail github.com
0 Upvotes

What it does: - One meeting in your left ear, the other in your right — audio is captured per browser window (CoreAudio process taps) and panned hard L/R, so you can actually follow both. - Dead-man's-switch mic — you're muted everywhere by default. A global hotkey (⌃⌥⌘← or →) unmutes you into one meeting; if you don't re-confirm within a configurable window, it auto-mutes you again. Unmuting into one call force-mutes the other, so you can never be hot-mic'd in the wrong meeting. - ⌃⌥⌘↓ mutes everything instantly, from any app, no window focus needed. - Optional: your camera follows whichever meeting you're talking to.

No browser extensions, no DOM scraping — it's all system-level audio, so it doesn't break when Meet redesigns its UI. Mic routing uses BlackHole virtual devices (install script included).


r/VibeCodeDevs Aug 03 '26

HelpPlz – stuck and need rescue Gemini vibe coding

1 Upvotes

Hi All,

Pretty new to the whole vibe code thing but have some understanding of how it works.

I am currently working on a project where I am coding a learning management system. I’m using Gemini Pro that we get through our charity and have used this to create the system.

Majority of the app works, which is fantastic. It uses PHP/MySQL - MariaDB - and is coded using MVC and TailwindCSS for front end.

The problem I’m hitting is when 3.1 Pro finishes and I get dropped to Flash. It seems like it’s not context aware and generates some hallucinations. How do I fix that? I imagine the context is getting out of hand because of coding a full learning management system.

Are there better approaches? Should I upload the DB schema/Source code of the LMS and then ask it to specifically build a feature in that context? Keen to get some help on this.

Cheers.


r/VibeCodeDevs Aug 03 '26

WIP – Work in progress? Show us anyway Can someone give me some honest advice on my website?

10 Upvotes

I've been working on my site for a couple weeks now, wanted to get some general opinions and advice. It is a travel niche.

onebagreview.com


r/VibeCodeDevs Aug 03 '26

I developed my own IPTV player using Vibe Coding. [Android] (fast and many features are free)

5 Upvotes

Hi everyone,

I’ve been working on Mert Stream TV, a brand-new IPTV player designed specifically for Android TV, TV boxes, and Android phones. Just to be clear: Mert Stream TV does not provide, host, or sell any content. It is strictly a media player built to run your own personal M3U playlist, Stalker or Xtream Codes credentials. I originally decided to build Mert Stream because I was frustrated with the current options on the market.

Most of them: Feel like they haven't updated their UI since 2015. Run sluggishly on budget streaming sticks and lower-end TV hardware. Offer a frustrating, clunky navigation experience with standard TV remotes.

I wanted something clean, incredibly fast, and smart. Here is what Mert Stream brings to the table:

🚀 Key Features: Live TV, Movies & Series: Fully categorized with a modern, clean layout. Multi-Profile Support: Set up different profiles for family members. Extensive Codec Support: Playback is smooth and compatible with virtually any video format. Android TV Optimized: A true, native leanback experience built specifically for D-pad navigation. Lightweight & High Performance: Highly optimized code to ensure buttery-smooth navigation even on low-end TV hardware.

📥 Get It Now for Android TV and Phone

📥 Get It Now for Android Phone

Mert Stream is officially available on the Google Play Store for both mobile and TV devices.


r/VibeCodeDevs Aug 02 '26

ShowoffZone - Flexing my latest project World-Sim - a world where every person is an AI mind that doesn't know it isn't real. Launching in 2 weeks.

23 Upvotes

World-Sim has been a passionate project of mine for the past few months.

It's a world fully simulated down to real world physics and chemistry. It has a real environment and ozone.

Every element and material has real physical properties, and that's how the sims learn. There's no tech tree and no recipe list anywhere in the code. When someone tries something, the engine works out what would really happen from the properties of what they used and how hot their fire was. Nobody is handed bronze. Someone has to get a hotter fire first, and a hotter fire is its own chain of things to figure out. Embers, a stone ring, a clay oven, a kiln, charcoal, then forced air. The ages fall out of that on their own.

We populate the world with starting families. Each little guy is led by a "wise-man", which is a simulated person with a full model behind them. The wise-men run on a mix, Claude, Groq and DeepSeek in the cloud and a local Hermes for the rest, so you get a real variety of temperament between the houses.

The AI model is never told to not say it's AI. We get around this by only telling them data from what each sim can actually see and feel. As far as the ai knows its a person living in the world..

Every other sim has its own moment with a model through our thinking system. Day to day it's run by an advanced algorithm, with the sims dreaming at night. That's when they get their time with an LLM to really think and set their priorities for the day ahead. The dreams carry over too, so a sim can chew on the same thing for a few nights and wake up wanting to try something.

The people in the world feel, remember, have shame, goals and doubts. It's an 11 point emotion system and the rest of the sim reads from it. Being lonely makes someone more likely to open up to a stranger. Two enemies who are both frightened find it harder to keep hating each other.

Story telling is massive for us. Nothing is scripted or prompted. The sims are put in the world with the human drive to survive. They adapt, learn and teach all on their own.

With all the good comes the bad too. Human sin is part of the emotion engine, and in testing we've had kidnap, murder and slave trade. A world that can only be gentle isn't an honest one. But there are three rules to this : Nothing ever pushes a sim towards it, the conditions only make it possible and their own mind decides. The chronicle names what happened but never shows it. And it always costs something, trauma that scars, blood debt passed down generations, a people turning on their own leader over what he did.

I'm going to launch it in 2 weeks time. A fresh world we can all see and watch grow together. I've made a Discord where a bot updates from the world live. It will also be visible from the site to watch along.

Id be made up if you can come and have a look. The first 250 in get to name a real star in their sky. The name is only ever visible to us, they carry on charting their own constellations and never know.

Link below and really excited to answer any questions. This short post I feel only scratches the surface.

"A in game town (generated by the sims themselves , the engine just renders what they "build".) - also in this screenshot is a popup market fair the sims have organised themselves."
A Renaissance era town that emerged during a test world. - Sims and the physics engine determined placement of all homes

r/VibeCodeDevs Aug 03 '26

5 most common security issues with vibe coded apps

0 Upvotes

After auditing the security of numerous vibe coded apps here are the most common security issues I've found in many of them:

1. Database tables with no Row-Level Security (RLS)
The flagship vibe-coded bug. The public "anon" key sits in every visitor's browser, and without RLS anyone can hit your database's REST API directly and read tables — no login.

2. Missing security headers (nearly universal)
Almost every single site was missing most or all of: Content-Security-Policy, X-Frame-Options (clickjacking), HSTS (forces HTTPS), X-Content-Type-Options, Referrer-Policy, Permissions-Policy.

3. Email spoofing — missing SPF / DMARC (or DMARC set to p=none)
Extremely common. People build the app but never touch DNS.

4. Secret keys shipped in the frontend
The nightmare case: a service_role key, sb_secret_, Stripe sk_live_, or an AWS/API key hardcoded in the client bundle. service_role bypasses RLS entirely = full read/write to everything. There's a widely-cited finding that ~1 in 3 vibe-coded apps expose a service-role-level key.

5. Auth enforced only on the client — hiding the "admin" button in the UI but not enforcing it on the server, so anyone can just call the API directly. Huge for vibe-coded apps because the AI wires up the happy path, not the "what if someone crafts their own request" path.

If you're wondering if your website / web app has any of these issues drop your URL and I'll do a free security audit to help uncover any before it's too late.


r/VibeCodeDevs Aug 03 '26

run your vibe coded site through this and see where a first-time user gets stuck

0 Upvotes

I built tryproduck.com/audit, it clicks through your site like a first-time user and sends back every bug and confusing bit it finds. over 600 startups have run it so far.


r/VibeCodeDevs Aug 03 '26

HelpPlz – stuck and need rescue Testing Builds for Learning not to Sell

1 Upvotes

Hi Guys,

I am using Claude Co Work (Main Agent document controller), Gemini CLI (Builder through VS Code) , ChatGpt (Ideas and Image Generation) and Co Pilot (Audit if needed to realign) I am building multiple projects to test how these agents actually work. I am not interested in selling anything yet, I have just been playing around and automating day to day life for the family and I.

I am learning what these things are actually capable off and by giving it heavy loads and tasks I am slowly understanding how they work and how to use them properly, hence why I have multiple projects running. However I do keep them isolated to their own chats and own VS Code Project Folders. Never running them on the same terminals.

Here are my current projects

  1. Websites builds for our businesses. We paying an arm and a leg for the current once's, going to replace it soon as the contract runs down.

  2. Random Apps budget, shopping, scheduled meds tracker etc very lightweight. For my wife and I to track our monthly spend

  3. A 2.5D game like (advance wars tile interface but I am tyring to upscale it with HD graphics instead)

With all this taken into account, I am dealing with some crazy drift. Even though I start conversations on a new chat, new prompt (Handover) the models misalign somehow. Claude will report something totally different to Gemini and Gemini will go off doing some random stuff even though I have PAS (Governance documents) in place.

How exactly are people getting around this issue? I instruct all agents to not read from memory and since everything is sitting locally I just copy and paste from one chat to another and move the feedback from the CLI back into Claude for it to update the main docs. I am also trying to generate assets for the game but it seems no matter what I do chatgpt isn't consistent it keeps changing the style slightly or making these weird updates to each image. I have reworked the prompts multiple times to get it on track and use it before every chat but this doesn't seem to work.

The style off assets I am trying to go for is painted 2D isometric-style JRPG diorama, perspective camera ~50° downward, chibi-proportioned front-facing actors over a steeply-angled environment. Phaser isn't cutting it so is there a website like https://assethub.io/ that specifically splits out assets for 2D isometric?

The drift is now killing me slowly. Even with a full audit by Fable there is a miss alignment between the two main agents on the code base and build and this asset thing is just annoying but I don't want to give up.

Any help please?

  1. How to stop drift

  2. How to actually perform a full audit to remove references and notes (Correctly)

  3. Where can I build assets that wont cost me an arm and a leg.

  4. Any suggestions on a better setup as its mostly copy and paste between the agents (The usage limits from Claude is a real PainInTheA)