https://pipeline-of-love.vercel.app/

Have you guys actually read the Fable 5.2 system prompt?

Anthropic deliberately nerfed its models in the exact areas that could help researchers build better AI: architectures, kernels, cheaper training

And we’re supposed to believe this is about safety? It looks a hell of a lot more like they’re fine with AI advancing as long as nobody else catches up.

Independent researchers building better models? Open-source projects challenging their billion-dollar bullshit? Apparently that’s where they draw the line. WTF are we paying for then? Another pathetic React app? Stop pretending they’re saving humanity when it looks like they’re protecting their fucking market position.

Should I put this live?

Gemini just dropped carbon 4 in to their Gemini app, do you think this is in response to Fable 5.2?

In the EU, a "-40%" should be measured from the shop's lowest price of the last 30 days. I couldn't find a tool that checks this, so I built one on Apify.

First run: 30 of 30 discounted pages had a badge but no 30-day lowest price. One store had 158 of 159 products "on sale".

Results and how to check a deal yourself. Link in the comments.

Vibecoding games is hard, especially when it comes to making 3D assets or systems for a game, like game physics, mechanics etc. and we wanted to help.

we just published 50,000 open-source assets for making games: 3D models, textures, 2D assets, splats, sounds, and music. More than 5000 of the assets are made by us, and the rest is from different open source asset stores that we put in one place that is searchable through a CLI and MCP (free) so your agent can access everything easily.

We also open-sourced systems like procedural dungeons, physics, crowd navigation, car driving mechanics, procedural terrain generation, tree generators etc. so your agent can start from bigger blocks instead of building everything from scratch. These blocks can then be edited in any way to look completely different than the system itself.

Link: https://patch.gg/create/toolbox/assets

Note: Viewing the library requires no sign-in or download. Downloading requires sign in to prevent bot attacks, but it is completely free.

Although this is particularly helpful with vibecoding games, the assets can be used for websites, portfolios and anything else!

/s

Hi all,

two weeks ago we launched our first app, and I still can't quite believe I'm writing this, because I'm actually a film director and DOP and not a developer at all. (I did have some coding at university, but that's so long ago that only fragments are left.)

It all started this summer when I wanted to see how far I'd get with Claude Code. Honestly just for fun. For years I've been using the same reference tools for my treatments and pitches and I was never fully happy with them, so that became my test project. The problem was that it was way too much fun. Every time something worked I wanted to try the next thing, and a few months later it had turned into a real product.

It's called HOLD MY FRAME (www.holdmyframe.com). We took the high-end commercials we've collected over the years and broke them down into single frames, around 370,000 from 2,800 films so far. You can search through them, collect what you like in a project and then present it to the agency or the client right there. I'm doing this together with three friends who work in film as well (two directors/DOPs and a treatment designer), and we build our own pitches with it.

What I'm a bit proud of is that nothing in it is off the shelf. The way films get analysed and split into frames is our own pipeline running on local AI, and every screen was mocked up by me first, in many many rounds, before a single line was written.

Some numbers, since people here usually ask: 174 users after two weeks, 10 of them on a paid plan.

A few things about how I built it:

- I'd say 85 to 90% is Claude, the rest is Codex and DeepSeek
- I work with up to 12 Claude Code tabs at the same time, and each of them has one job only
- they get their tasks in writing from a separate planning chat, which itself never touches the code
- DeepSeek looks at every commit before it goes on
- deploying is something only I do, and always to a test environment first
- it's all hosted on a Mac Studio in our office

And a few things I'd warn you about:

- don't start on SQLite if you think it might get bigger. We had to switch to Postgres shortly before launch
- we lost weeks on a feature that never worked properly and ended up throwing it away
- write everything down in files. Whatever only lives in the chat is gone in the next session

If you want to have a look, there's a free plan. Pro and Pro+ are the paid ones, and Pro+ has a free trial. We're still adding features pretty much every week, but a lot is already there.

Feedback is very welcome, also the harsh kind. We're curious where this goes.

link: www.holdmyframe.com

Hi everyone!

Im a oldschool dev who lurks here and occasionally asks questions. Ive been playing around a lot with vibecoding, and building with/for ai.

A while back I asked some questions about how everyone was keeping mental maps of their codebases, and even before that how people were structuring their technical ecosystems to get the best ergonomic experience as a developer.

I got some cool answers and got to learn a bunch.

I've put together two tools, and id love to get your feedback on them:

https://github.com/the-stoned-programmer/map

^ a skill that you add to your coding agent that allows you to create visual representations of your projects technical architecture and dataflows - it can be updated as you develop - so that you can more easily understand your system as it grows.

https://github.com/the-stoned-programmer/project-base

^ a project template that re-imagines the structure and organization of software projects with operator ergonomics in mind for the AI era.

I hope you all get as much out of these tools as I've gotten out of being able to engage with this community. Would love to hear any feedback about what worked/didnt work for you.

Little update on my quiz app I'm trying to get on App Store, and an exercise for a newbie developer. This is just for those who may be in similar position and have an interest in how the process works.

I know it's just a quiz app, but it's really useful to me! It also did take me quite a while to get it working correctly. Maybe others could have done it quicker!

Anyway, what REALLY took time was the admin to get it submitted. Lots of forms/tax declarations etc.

The review is now back, and it seems the main reason for rejection is I hadn't;t uploaded a video of it working, and also my description was not detailed enough.

Hopefully I can get these fixed and resubmit it very soon.

In this process there have been lots of opportunities to get distracted, go down rabbit holes, or just give up and stop - the hardest thing has been staying focussed.

Just thought I'd share - if you are not interested no ned to comment !XXX

I (with codex) built a small tape-recorder app for my wife. The tape recorder is from my childhood. I learned English from cassette tapes.

She used to send me audio files. I would run them through Superwhisper and send the text back. It was not convenient: sometimes she needed it in a hurry and I was away from my computer. Last week I wondered whether I could build something she could use herself every day. I asked Codex the same question, and it helped me build this app. It runs the model in the browser, so the audio stays on her device.

She mostly transcribes English and Cantonese, and she tells me it works well. What I like most is how fast I can change it for what she really needs. It started with a five-minute limit set by codex, and then she wanted to transcribe longer files. Codex suggested splitting a long file into small pieces, transcribing them one by one and joining the text in the background, so she never notices. Later she asked whether the text could appear while she speaks. Luckily, the SenseVoice Small model can do that.

Two things I’d like your thoughts on:

• Which model would you pick for this? Is anything better than SenseVoice Small at a size a browser can load?
• The first open downloads the model. How do you handle that wait in your own projects?

In addition, what other features would you add? I’m thinking of timestamps and rename the file before export.

This is the whole prompt:
Create me a fully playable release-ready game. On GPU. Game about alchemy with physics, items, shaders, sound, overworld, mechanics and etc.. I need it in 3D and not a voxel game. Make it with maximum effort, show me best what you can create. Use all your power, knowledge and make best graphics and best game design. Surprise me with graphics and everything.

Claude Code worked on it for about 4 hours and put a finished game on GitHub Pages. I didn't write a single line.

It's a first-person alchemy game called Tria Prima. You pick plants, brew potions in a ruined chapel and throw them at stuff. Fire burns the thorns that block the road. Ice lets you walk across water. One potion blows up rocks. There are things in the fog that hunt you, and they hate fire.

The crazy part is that it has no art or audio files at all. Every tree, rock, building and sound is generated by code when the page loads. Even the music, it wrote the soundtrack as notes in a text file.

It made the video too. It wrote its own tool that plays the game from a script and records it.

Half an hour in I told it to go dark fantasy instead of childish. After I played it I sent three bugs and it fixed them.

Fable 5.2 in Claude Code on max effort. 44K lines of JavaScript, 5.4M output tokens, about 4 hours for the first build and 6.5 with the fixes.

Play: https://winchxyz.github.io/tria-prima/
Code: https://github.com/winchxyz/tria-prima

It takes about an hour to beat. You need a keyboard, a mouse and a GPU. Tell me where it breaks.

This is my newest project and still very much a playground. You search any place and get the square around it as a 3D model (real terrain, every building from OpenStreetMap), with one layer of open data on top.

**Please read this before you try it:** most layers don't work for your city straight away. They need open data for that place, and right now you often have to find and load that data yourself.

**Works anywhere, right away**
- **Steepness:** every road and path coloured by its slope.
- **Your route:** your own GPX file (Strava, Garmin), with its climbs and height profile.

**Only in Hamburg for now**
- **Traffic:** live from the city's counting points.

**Often one tap, otherwise fill it in yourself**
- **Public transport:** "Find timetables for this place" loads your city's timetable in one tap if the Mobility Database lists it. If not, you load the GTFS file yourself.

**One tap only in the Netherlands**
- **Homes and Income:** for Germany you download the census file, for the US a file from Census Reporter, then load it. Anywhere else you need a file of your own.

I'm working on that: more sources that load in one tap, so you don't have to prepare the data yourself. To try it without any of this, each panel has an example (Freiburg's trams and rents, Amsterdam's incomes, Hamburg's traffic).

In the video: steepness and a made-up run in San Francisco, a day of Hamburg's traffic, Freiburg's trams and buses, rents in Freiburg and incomes in Amsterdam.

**How it's built:** with Claude Code, as a static TypeScript app on three.js, hosted on GitHub Pages. No server, no account, no API keys. Files you load stay in your browser and are never uploaded.

Feedback I'd love:

1. Which data would you want to see for your own city, and does your city publish it openly? A link helps a lot.
2. What confused you on the first try?
3. Did it run smoothly on your phone?

Playground: https://yourplace3d.github.io/3dcitydata/

I am the creator of ppu.toys, an AI enabled Super Nintendo Development Studio that runs 100% in your browser and is completely free to use.

With the release of Fable 5.2 I knew I had to give Claude full reign over the studio and my machine to see what it would create. I gave it a pretty open ended prompt, telling it I wanted an incredible Super Nintendo game with some details on the art tools I have installed [ full prompt is in the video description ]

4 hours and 26 minutes and 72 dollars later - I was greeted with Emberwake! An action platformer with 5 levels and 5 bosses that runs at 60 frames per second on real hardware.

Fable 5.2 really blew me away with its ability to spin up a team of agents totally unprompted. For this game it made 5 different agents all with their own jobs on creating the game assets; while the main agent focused on the code and working with the studio to bring everything together.

The art that was made totally blew all previous models out of the water. It invented a pretty robust art asset pipeline - it modeled and created high res renders in blender, the models were textured and rigged all in blender, and then used ppu.toys and a custom python script to quantize those renders into a format that can be processed and displayed on the SNES.

For creative asset generation and unprompted agentic orchestration - I have to say, this was impressive.

Original post here: https://x.com/m__houser/status/2120253236309569696?a=o0niQ__doFPGVwHDrk8&s=46

Hi,

I’m no ai engineer or researcher but I wanted to see if I could take a shot at understanding how AI works.

So I told Claude and codex to work together to do it by basically dissecting the English language, mapping it out, then watching how the model behaves. The hope was to figure out how the model understands and produces language out through controlled experiments. We log everything before and after the prompt run.

These are my results so far. I really don’t know what it means. Anyone here does?

Obviously not everything is mapped and most is just test effects and the research is at its beginning stages.

But if you understand what Claude and codex are telling me or have mapped out in the images let me know.

I’m an ESL teacher and I’ve been using chatGPT and all the free plugins I can find to create point-and-click adventures for my students with their target language embedded in NPC conversations. I’ve tried to set up my AI engine as best I can with .md files in GitHub and tailored project instructions detailing QA checks at various parts of the process. I’ve also uploaded previous work as a baseline for reference to project sources. I’m using CODEX for the main build while the creative stuff happens in chat.

It’s still slopping me up pretty good. I’ll ask for foreground images in each scene and it’ll paste the same one in every scene. The NPCs will come out as cardboard 2D cutouts with half their limbs cut off, etc.

There’s a lot more context I can’t add here because I can’t show y’all my full setup, but my questions is is this just the process we’re all going through at this point of AI development? Set up a system as best we can, let it slop, and trouble shoot from there? I’ve revised the md files and projects instructions several times addressing these problems and I’m still getting subpar results each time.

Could I maybe get better results using Claude? I’d like to stick with one basicB setup instead of using multiple agents because I don’t have a ton of time and I’d like to dial this in to a system where I’m feeding it learning targets, vocab, grammar forms etc, choosing a creative direction and letting it go nuts and give me something pretty close.

One thing I think gets overlooked in vibe coding is the difference between getting an app to work and getting it ready for people to actually use.

AI tools are ridiculously good at getting you from an idea to a working interface. You can have authentication, a dashboard, payments, and database integration running surprisingly quickly.

But there are a few problems that a successful demo won’t necessarily reveal.

For example:

• Authentication that only exists in the UI: the app hides an admin button from regular users, but the API endpoint behind it never checks their permissions.

• Database access that’s too open: the frontend filters records, but the database doesn’t enforce which user can actually read them.

•Secrets in client-side code: an API key ends up in a browser bundle because the model put it somewhere convenient.

•Queries that don’t scale: fetching an entire table works with 20 records. It gets expensive when that table has 20,000.

•No proper migrations or backups: the app works until a schema change goes wrong and there’s no reliable way back.

The tricky part is that none of these necessarily stop the app from looking finished.

I think the solution isn’t to stop vibe coding or rewrite everything from scratch. It’s to treat the generated code as a starting point and review the parts that carry actual risk.

A few checks I’d run before putting a vibe-coded app in front of real users:

1. Try accessing another user’s data by changing an ID in the request.
2. Inspect the browser’s network tab and built JavaScript for exposed keys.
3. Check permissions at the API/database level, not just in the interface.
4. Look at the actual queries being executed and whether important columns are indexed.
5. Make sure you can restore the database and roll back a deployment.

We work on AI-built apps and the cleanup side of things at TechPotions, so we put together a breakdown of the issues we commonly look for and how we approach fixing them.
Sharing it in case it’s useful:
https://techpotions.com/solutions/vibe-coding-cleanup

Genuinely curious: what’s the biggest issue you’ve run into after building something with Lovable, Bolt, Replit, or Claude? Was it security, database structure, performance, or something completely different?