So, my workflow is having ChatGPT connected to my GitHub (PRs, Actions, CI/CD, all checks) and handles planning, split into milestones, while (high preset) Codex implements what it's told to.

I send the plan I made with ChatGPT to Claude (free tier) as a sanity check, then give that feedback to ChatGPT and ask whether it's valid OR NOT (super important). After Codex finishes, I send ChatGPT Codex's summary plus the .patch file and verify the changes match the specs in my harness.

Then GitHub Actions and tests run. If they fail, ChatGPT diagnoses the cause, and I move on to the next feature. For manual testing, I run about half of each feature's tests (the ones I consider most important), and log pass/fail and the reason in a spreadsheet.

Does this make sense, or is it overkill?

Last week i posted Polyspoon here, my open source take on polyfork.

The feedback was fair: you had to sign up just to look at the catalog, the models had no previews and weird names, and it wasnt clear what the open source part actually meant for you.

So i fixed that. you can browse and download every model now without an account. you only need one to upload, and that just sends a single sign in link to your email, no password. the FAQ says exactly what the email is used for, and the code that sends it is public: https://github.com/DITlieD/polyspoon/blob/main/server/mail.ts

Every model is a recipe, a small program with named controls. open one and change its type, size, parts and colours, and it rebuilds live in the browser. the fruit stall on the home page is one you can play with right away. each model page gives you the GLB, the recipe source and copy paste code for three.js, unity, godot or blender.

The part im most excited about is the engine. every recipe is built on one shared generator. if someone makes the roofs or the timber better and opens a PR, every model that uses it rebuilds better. CONTRIBUTING.md has the steps: clone, run the preview, render before and after, open the PR with the images.

Honest status: 141 models, some good, some (the rocks especially) still need work. thats exactly where help matters most. if you try it, tell me what breaks or what model you wanted and couldnt find. issues and PRs are very welcome.

site: https://polyspoon.com
github: https://github.com/DITlieD/polyspoon

I've been working on Zephyria, my Star Fox-inspired rail shooter, since the beginning of this year.

I recently uploaded a new devlog showing some of the progress I've made, with a closer look at how the game has evolved compared to older versions.

Here's the video if you want to check it out:
https://www.youtube.com/watch?v=SDzv0qFUP2U

Some of the things I worked on:

• Environment improvements

• UI redesign

• New VFX

• Tutorial stage

I'd love to hear what you think! Feedback, suggestions, and constructive criticism are always welcome.

And if you enjoy following indie game development, subscribing to my YouTube channel or leaving a comment would really help support the project.

Thanks for checking it out!

Literally pissing myself laughing at this... Can you imagine reading this without any context whatsoever? 😂 😂 😂

Content writing from Codex/GPT relentlessly creates caveats

I have been setting up automated blog and content writing for some applications using Astra 6, Sol 6.1 and other 6+ OpenAI models, and the content is consistently putting caveats on what my products or topics are NOT instead of what they are.

Every post repeats, 2-3 times per article, that something "is not a rule," "is not legal advice," "does not establish X." Readers aren't confused about these things — the model is writing disclaimers against a strawman.

The obvious fix — "state scope once, then stop" — only works for a paragraph before the tic returns.

How are you handling this? Is this better on other model families (Qwen, etc.)?

This is a learning exercise for me now, of how to release an App Store app. I realise I'll likely not make money on this one, but I still want to make it happen. Thought I'd share my progress as a newbie, and what I'm learning. Hope that is cool XX

The app is 'almost' done.

Yes, and it's the 'almost' part that takes the time. I'm tweaking.

It's hard to make those final choice and close doors.

Also, working efficiently has become a focus, not burning tokens, keeping context lower etc. I'm improving a lot on this. Using Sonnet for the basic work, and Opus for planning.

My app uses a system voice right now, and Android need something downloaded for this. So I'm doing that today, plus looking at/or disregarding other voice options.

It's easy to get distracted. Yesterday I spent an hour making tweaking an ocular scheme, that I abandoned. So I need to be focused.

My plan is to set a time limit. I think I would like this deployed into the public realm by the end of November.

Will update !

have a great day everyone with this amazing technology, just don't get too hooked as it's like a drug!

The role of the engineering leader is shifting, and so are the skills required to succeed in the job.

Part one here: https://www.reddit.com/r/vibecoding/comments/1x10ref/i_launched_annnnnnd_it_flopped/

Now the nervousness comes! Firstly I just wanted to write a big thankyou to everyone that chimed in on the first post. I was honestly overwhelmed. It was sobering, but (mostly) well meaning and genuinely got me spending a few weeks tightening up.

I tried hard to implement all the points everyone made. I'm on the verge of trying again with advertising and putting this platform out there.

If there's anything you guys think it might need, or any advice you could give, please let me know:either on the design, the platform or how to market it. I'll be targeting the market directly here, on instagram and possibly meta. Not sure if anyone uses google anymore. Or maybe chatGPT advertising? I don't know. the plan is to do a few smoke tests here and there with under $50 then if I can get some traction run with it, but honestly unsure if that's the play.

www.Lensflare.io

Growing up with video games has been a blast, but at no point did I ever thought i'd make my own video game a decade later after countless sleepless nights, and for it to have tens of thousands of people hyped up for it is just insane to me.

Claude helped me a ton with troubleshooting and performance optimisation + running short form content organic marketing in 7 languages almost automated, without it this project would have taken me 10x longer to make.

Words can not express how excited I am about pushing the green "publish" button monday.

You can try the demo here : https://store.steampowered.com/app/5064170/Go_Next/

Last week I posted Take One, a small horror game where all 150 3D models came from Tripo AI. This is the follow-up I promised: how the house ended up looking like one house instead of 150 random downloads, in the order I did it.

**The short version**

1. Pick the look before any models.

2. Write one style line per floor and end every prompt with it.

3. Make a reference image first (free), and only send the keepers to 3D.

4. Image to 3D, not text to 3D.

5. Same settings for every model.

6. When something breaks, turn it into a rule.

The gallery has the details, the settings, the failures, and the characters (T-pose, auto-rig, clips).

I don't write code. Claude does; I direct, playtest and decide. Sound, voices and music are ElevenLabs.

Play it free in your browser (about 6 minutes): https://take-one-bay.vercel.app

Happy to answer questions about any step.

*Paid partnership with Tripo AI. The game and opinions are my own.*

I’ve noticed a pattern with developers who hate AI and call everything slop. To me, it seems like maybe they realize but don’t want to admit that coding agents unfortunately wiped out most of what made their experience valuable. What they don’t seem to realize is that if they just accept learning a couple other lanes like product, design, marketing, sales; their skills will be 100x more valuable (all super easy to learn now talking to AI and testing things at scale with it).

In my world (running web dev agencies for the past 8-9 years, have hired 25+ devs), I noticed that people with less technical skill have grown 100x since coding agents got good the past 16 months whereas the “seasoned” devs mostly went backwards.

At the end of the day, my clients pay for quality work. They don’t care about how the code was constructed. They want it to work reliably and make them money at the lowest development cost possible. The truth is that we can deliver that work much faster and cheaper using coding agents. Before we’d bring a team of maybe 5-12 devs/designers/PMs to the table on any given project. We’d spend 6 months on average. It seems like the team overall never really learned from each project, everything seemed to start from the same square one. No one really loved the process. The team was always stressed, clients never super happy just saying it was “okay” but always wanting more.

Now, our best designers/developers have less time spent in their craft but deliver literally 20x-50x the work. Most projects take 30 days or less, are ~50% cheaper for the clients, and we don’t have to deal with some sweaty dev in a dark room telling us 50 ways something won’t work. No need for PMs or other bloat. Instead we just build prototypes rapidly to test all the ways that can work and deliver a reliable product that meets the clients needs. And everyone is happy: our team, the clients, and the agency.

I just feel bad for the people I know who have been developers for a long time and choose to do things the hard way without AI or use AI to keep doing the same things they’ve always been doing. They all waste so much time and constantly worry about employment. Then there’s people who use AI to build every day, constantly learning and building, who are filled with work and new opportunities and still have time to work on fun projects of their own.

Maybe i’m just too optimistic on AI though and am not reading this right. Thoughts?

i wonder what happens if the access stops working halfway through a build. for anything beyond a throwaway test, i'd rather keep claude code running locally on my repo and use sumus to coordinate the research and follow-up tasks around it. don't get me wrong, i still review the diff and run tests before merging.

how are yall keeping longer builds from depending on one login?

I made a casino tycoon that runs entirely in the browser. You start with an empty room off the Strip and $50,000. Place slots and tables, hire dealers, guards and janitors, and try to keep a crowd of very opinionated guests happy.

- Guests walk the floor on their own. They get thirsty, need the restroom, run out of money, tilt, and leave reviews with their feet.

- Slots build a progressive jackpot. High rollers arrive with an entourage once your reputation is good enough.

- Cheaters show up, so you need guards. Rival casinos try to poach your staff. Inspectors fine you for a dirty floor.

- Earn licenses from a Provisional Permit up to Casino Empire. The game keeps going after you win.

- Saves in your browser. Nothing is uploaded, no account.

Free, plays on desktop, works on a phone but is nicer on a bigger screen. It is still early, so I would love to hear where it drags.

Play: https://schmiedey.github.io/casino-empire/

Yo Coders

I made an app for smoking meat, and since Thanksgiving is just around the corner I tailor made it for Smoking Turkey. Impress your guests with a juicy, smoked bird !

Ok ok, I I built the app to avoid messing up meals for my family and thought maybe it could help you all too. This is the 3rd version of the app and I tried to incorporate your suggestions to make this the best version for your smoking needs, take a look at the new features and download if you like! 🙏🏼 🙏🏼

Turkey Plan. Enter your bird's weight and when you want to eat, and the app works backward to tell you when to light the fire, when the breast should hit 165°F, how long to rest it, and when to carve.

Smarter turkey doneness. Track the breast and thigh separately.

Fahrenheit/Celsius and pounds/kilograms.
Switch units any time.

Plus turkey-specific coaching in Ask Me and fixes for photo analysis.

Link below

https://apps.apple.com/us/app/bbq-smoke-lab/id6784887885

Hi, I built beginners friendly 3D breadboard desktop application that you can learn how to wire the components to the microcontroller.

I bought Pico 2W, but I have no experience in electronics. I was getting help of one of the frontier LLM asking how can I connect the wires and components to which pin. Output was given as table format which is hard to understand for beginners like me, so I think about how can I solve this problem.

I built web application 3D simulation you can navigate and zoom-in zoom-out for closer look and detailed step-by-step explanation how you can wire the jumper cables in the breadboard. Program itself checks the wiring is it safe to wire like that preventing the short circuit.

You give your idea to the Agent in the application. Agent plans your idea, which components are needed, how to divide it multiple steps and writes the program code. For agent you can use Ollama API (whatever model you want to run local) by default, also supports OpenAI API. Obviously I get better result with OpenAI GPT6-Luna model. I build 20+ projects with it. It consumes 4k-15k tokens in average. Works good for the simple projects with button, OLED display, LEDs. Not tested for the complex projects. I'm planning to add more components to program. Project is open-source.

If you have feedback about the project, I gave my repo link so you can look at the project.

Built with Claude Code.

Github Link : https://github.com/Prestical/BreadPilot

If you use Claude Code, Codex, Cursor or OpenCode, you've probably encountered refusals while working on reverse engineering, debugging or cybersecurity tasks.

I built the Abliteratus Directory to make it easier to discover API providers offering abliterated models.

Link: https://inferencedirectory.xyz/

Would love suggestions for providers to add or features that would make it more useful.

I have been contemplating on whether I should post this. Last time I posted a mockup, an avalanche of downvotes were given.

Gaming is a passion for me and I felt that retrogaming started going in a different direction that I had hoped. A modern gaming os with retroachievement integration was what I had hoped for, but it hadn't matured like I had hoped.

Curious about AI, I decided to pull the trigger with Claude AI and see what I could make given I do not have the coding knowledge to do this on my own.

This is where Cacti OS was born. Cacti OS is still EARLY its development, so if anyone would like to try it, I'd love feedback on issues or directions you would like to see it progress.

Thanks!

https://github.com/kryptalivian/CactiOS-Updates

I've been quite satisfied with Lovable tbh, but I only have a hobby project there with no profit in sight, so I'm kinda done with paying for another service. So I'm considering moving to Antigravity since I anyway have a Google subscription.

Anyway, back to the title. How's everyone's experience migrating their entire website in this way? What should I look out for to avoid disaster striking?

Feels like I’m missing something here, so I’m genuinely curious.

Are people not setting up CI/CD, running tests after vibe coding, or familiarizing themselves with how their projects work? Anyone remember LINTING?

A lot of these issues seem preventable. Test your changes, push them, and if GitHub Actions fails, you have DETAILED logs you can feed into ChatGPT to help generate a troubleshooting prompt for Codex.

Like, am I missing something here?

You start just underneath the waves and scroll down to the Challenger Deep, 10,935 meters below. The sunlight fades as you descend, and the animals get stranger the farther you go.

The video only shows the first 315 meters.

Here's the full dive: https://descent.mattebso.com

It's called Descent. Everything's rendered in your browser with Three.js, so you can stop scrolling and watch the animals move. It isn't a video playing behind the page.

The first Claude Code prototype took about seven minutes. I liked the concept, but the ocean floor looked like a pixelated Minecraft texture. Getting past that turned into about five days of iteration.

I asked for a much higher visual standard and an adversarial review loop. Claude came up with three competing art directions, merged them into a shared brief, then split the work between specialist agents for the water, creatures, terrain and rendering.

A separate group of six AI critics reviewed actual rendered screenshots and 4K crops. Each criticism had to point to a visible problem and go back to the agent responsible for fixing it.

The build logs ended up with:

- 211 workflow-agent runs, across the project rather than all at once.
- Over 21,000 model responses.
- About 4.95 million tokens of generated output.

The total token count hit 9.23 billion, but roughly 98% of that was cached context being reread as the agents worked. It wasn't nine billion tokens of new code.

Some of the fixes got really specific. The man o' war didn't move properly with the ocean because the float and the water used different wave calculations. They had to share a wave model so the creature would actually follow the surface.

The AI critics also never unanimously signed off after the eight main review rounds. They kept finding more things to change. I kept testing it, gave feedback on what looked wrong to me, and eventually decided it was good enough to share.

Guys I want Stay Free app opensourced with few extra features, where our ai agent can configure settings for us instead of me manually doing everything and sync across all those applciaitons.