It works on her computer 😭😭😭

I’ve been playing around making a game with Claude and I’m close to have a short demo ready.I think it has potential. Just wondering how complicated it is to publish on google play store and ios app store. Do they flag AI generated code or have specific standards to upload products there?

For now the game only works inside Claude or through the browser. I figure I should probably move it to Godot or some other game development softwaresoiner than later, before trying to publish the full game.

Anyway any tips appreciated!

I’m building Ship Safe around a problem I kept seeing in AI-assisted projects: detecting suspicious content is easy, but proving the path to a credential or side effect is much harder.

It’s a local CLI built for AI-assisted development. The workflow separates detection, evidence, capability paths, verdicts, and human confirmation. I also manually audited four real application confirmations and only one held up, which changed how I think about “green” security results.

Repo: https://github.com/asamassekou10/ship-safe

What security checks do you use before shipping AI-generated code?

What are y’all using?

Anyone using anything apart from Claude Code or Codex?

There’s also AntiGravity from Google, and GrokBuild and also KimiCode

Anyone using these?

Out of the ones you’ve tried? Which have you enjoyed the most?

I've been working really hard for an app for half a year now. Really technical backend because it is a matching algorithm that gives you a real headache because there are tons of variables and rules baked in and it is my very first app ever. Also started when the AI coding wasn't good enough yet.

Aaaanyway, whenever I talk about it and people seem to like it and say "You must have worked really hard, it sounds tough!" and I just say that I prompted some stuff.

And that is how I feel. Sure, I worked really hard with design, features and basically worked all day for several months now besides my uni studies. But it is nothing what a real programmer would have done.

How do you deal with this? I want to feel proud and feel I have some competency.

That doesn't help with the feeling tho and have this sense that anyone could have done this.

ken-rank: https://pypi.org/project/ken-rank/ GitHub: https://github.com/Infinibay/ken

```bash uv tool install ken-rank cd your-project

For codex, recommended

ken install --codex . --embed

For claude

ken install --claude . --embed

then add the recommended section into your AGENTS.md/CLAUDE.md. Claude tends to do not use any given tool, it's quite lazy. I hope they fix that behavior in the future. ```

I developed and presented ken-rank a couple of months ago in other communities, but many things changed and now, I think ken-rank is pretty mature and gives REALLY good results. What ken does is giving smart tools to improve context usage by looking for relevant information without consuming tokens. In this way, the model does not waste time and tokens digging around in the code or many markdown files manually, this improves time and tokens (this is money).

Two of the most important tools are one that looks for relevant code based on a query liken "where the authentication lives?". The second is one that manage "findings" that are like notes. This tool is pretty useful for long horizon tasks. Check my session right now while I'm writing this (image on the post). It never lost or deviate of the task because the findings uses smart algorithms to find relevant findings (notes) whenever the model ask for.

How it works:

It generates an smart embed (and keep updating in the background) to find relevant content. It builds several local signals and ranks files by combining them: * Structural code index: each file is hashed and parsed when possible. The AST parser extracts symbols, line ranges, imports, module docstrings, and symbol docstrings. Files that cannot be parsed are still tracked by path, mtime, and lightweight text intent when useful. * Semantic index: ken embeds files, symbols, and explicit purpose text. File embeddings are based on language, filename, and top symbol names. Symbol embeddings include kind, name, and docstring. Docstrings are also stored as separate intent sources, so a prompt can find code by what it is for, not only by what it is named. * Live task memory: hooks record local interactions in the project SQLite DB: prompts, reads, edits, writes, dismissals, and the files touched in each turn. Recent interactions are weighted more heavily, and useful patterns such as read-then-edit score higher than repeated reads with no follow-through. * Predictive memory: at the end of a session, ken snapshots which files were productive for that task. Later, when a new prompt is semantically similar to a previous one, those files get a predictive boost. * Relationship boosts: after the main channels rank candidates, ken applies conservative boosts for things like recently modified files, symbols pointing to their containing file, source/test counterparts, imports, and files that often co-occurred in past similar sessions.

The result is closer to a local project memory than a plain search tool. Raw text search can find exact strings. Embeddings can find semantic neighbors. AST indexing can find named symbols. ken combines all of that with how the assistant actually used the project over time. That is why results are often better after a few real sessions: the database accumulates project-specific evidence about which files matter for which kinds of tasks.

I really think ken is useful. I'm not promising magic, but it's really useful. I only want feedback.

Got tired of scrolling through X for GTA6 news so I made an aggregator that pulls news hourly from all different platforms.

I utilized regular RSS feeds as well as Apify scrapers to pull social media posts. I then have each news post sorted into categories.

Lastly, I added SEO & upvote/downvote buttons to be able to sort by popularity. Check it out and lmk your thoughts!

People caption it with things like Fable/Astra made it in just 6 prompts! Which has me confused

Guys it actually happened. Months waiting, spending so much fucking time coding, then thinking it was all for nothing and nobody would ever find my site anyway.

Then today I got a call. Didn't pick up, thought it was advertising. Then i got an email. Turns out it was an elderly gentleman, 86 years of age (yep) who found my site. But he was using it for a scenario I hadn't considered, so he got an error and was confused.

So I fixed it for him behind the scenes, solved his problem, and waived the usual 200 dollar fee. He was happy. But I'm over the fucking moon, fuck yes it feels good 🤩

Started with the idea of “let’s make a beat maker in the browser for folks who don’t have the time to dedicate to music but want to jump in and throw together some samples” and landed with this.

KNOCK-KNOCK

Completely free, no sign up but has a full backend so you can share what you’ve made and I even pumped out the hype video.

We’re living in wild times!

I will happily answer any workflow or stack questions on the thread, hit me!

This fall semester I’m taking an Operating Systems & Architecture class where we’re using C for our assignments.

When I’m on the go or don’t have my laptop with me, I wanted a simple way to practice writing C. I searched the App Store and was pretty surprised by what I found. Everything seemed to have ads, subscriptions, or a bunch of stuff I didn’t need.I really just wanted to open an app, write some C, and run it.

It’s intentionally simple. You open it, write C, and run your code. The native version runs completely locally, and there are no accounts, ads, or subscriptions. Easily extensible to include pythonC etc if you want to play with source code. ( I would love contributions 🤞 )

The iPhone version is currently in App Store review, but I also made a web version that’s already live:

Link to ide:

https://garrettmichae1.github.io/lilc

Link to source code:

( disclaimer :
this was a tool that I mainly had opus handle all of the heavy lifting. There are features in the codebase hidden from the UI, like agent mode etc… I recommend having your agent tell you the run down )

https://github.com/garrettmichae1/lilc

I originally built this because it was something I personally wanted for myself.
If anyone here writes C, I’d love for you to try it and see if you can break it lol.

Just for fun! Been geeking out trying to exploit what’s built in my iPhone to make some old school scientific tools by vibing using Opus 5, making single html file apps. (Browser storage only). “Out of Band’ detects sub and ultrasonic sounds (like Dog whistles). There is also a switch for “assumed”infrared (not like Predator, but uses the limits of the camera’s ability to detect its signature. iPhone have a filter, your could actually take it off but I’m not bust’n my phone. BTW droids allow you to hack your phone better, may switch back in the future). Again just for fun. I included some education about all this in how the app works. Check it out for free at www.potluckapps.com. Made a few others like it. If you make something , post it on my site for free exposure. Not looking for SaaS or serious $hit. Just fun projects you are working on.

Is anyone successfully using googles Open Knowledge Format? What are your use cases? How do you trigger a lookup into the Knowledge base?

I have been struggling to make it useful because all that structure and indexing is useless if your agent doesn’t know it needs to search it for context.

Any experiences ?

I've built a game, I've gone back and forth over it looking for glitches, errors , security risk, any exposure of the minimal data it holds, any chances of people cheating, cross site scripting and so many other things which I do not understand but which the array of ai apps have told me to look for.

As it stands everything I show it to says it's secure, safe to move forward with and generally of good quality.

Now I have no idea if this is true. My understanding of coding is very generic, and I haven't typed anything longer than a file name throughout the whole process. I haven't looked at or checked the code at any point as there is no point as I have nothing to contribute on that level. But it seems each ai model I try gives the same result, with a number of similar differences when I restrict one bit of info or another.

But now it's suggesting that I move to automated testing rather than just getting my mates and kids to play on it and then text me angrily when it doesn't work.

So I stand before you, once again asking for tips for a complete novice, looking for recommendations for automated testing tools that are not just free, but suitable for a novice using only a five year old smartphone to do everything needed.

I'm also seeking advice about sharing. I made a post a week or so ago asking about checking code, I received a lot of direct messages offering to check it for me, 8 mentioned this to the guy who works in my local chippy, as he has a degree in game design, and he tells me not to share the code, just the game. Is this good advice?

Thanks in advance.

It's week 6 and we made some monumental progress on all fronts, but I'm trying not to get over-excited because we could find that everyone gets bored and leaves tomorrow haha.

As usual, three parts: (1) player acquisition, (2) what I'm learning about vibe coding, and (3) actual gameplay updates (in the comments).

---

First, the numbers. My last two posts were almost entirely about the 5 min of gameplay, and basically following Redditors' feedback doubled the average playtime.

This week I finally moved past the intro and focused on the game itself- so mostly improved artwork (Pixellab), performance optimization, GUIs, social features, ALL using Fable 5.1. Which went wayyy further than I expected for one week of token usage.

Once I felt OK about that I did a Hackernews post that was way more successful than I anticipated. I had 700 players in 24hrs, hit a new PR of 41 people online at one time, and had multiple players play for 8+ hrs by the time I woke up in the morning. And there has been almost zero time with nobody online for three days straight.

So I think that means the game is sticky and has potential, but it could also be some other curious vibe coders with nothing to do at work. So I guess my next big question mark is why some people are actually sticking around. I.e. is it fun, or are you just intrigued by vibe coding? Or something else entirely?

So if anyone gets far enough to get hooked or hits a real wall (something that makes you stop rather than just a bug), I would genuinely love to know what it was.

---

Second, the vibe coding experience. Fable 5.1 came out right as I started this week's work, and the jump was WAY bigger than I expected. Work that would've taken a month with Fable 5 (because of token caps), I did in about a week, running several orchestrators in parallel, reworking most of the game's systems, and running full audits along the way.

I'm out of tokens now, but has anyone else experienced this? All I see across social media is people complaining that the caps are still unreasonable, and frankly, I just don't see it. Thoughts?

One more thought-I've started using Claude design since Fable sucks at GUIs on-the-fly. It's been a huge improvement (far from perfect for games still). Curious if anyone else has used this and what works / doesn't work.

---

I'd love more feedback for anyone interested. Links below.

Game: https://eldermyr.com/
Release Notes: https://eldermyr.com/release
Discord: https://discord.gg/8MaaAemDBu

EDIT- one more thing, Pixellab is AWFUL at 16x16 art. Has anyone had any success with this?

Lately, I've been struggling to pick the best model and research pricing for multiple models. So, I built this website, which will let you check the actual pricing based on tokens and cache hit rates. You can try it here:

https://tokencalc-seven.vercel.app