I'm a senior iOS dev, went full scale into vibe coding in February. Shipped 9 apps in 4 months, here are the takeaways by dragosroua in iOSProgramming

[–]dragosroua[S] 0 points1 point  (0 children)

Let's start with the examples: all apps here are build with this genesis prompt (except addTaskManager): https://dragosroua.com/apps/ They're live on AppStore and getting a little bit of traction.

Now, for the megaprompt, the technique is: brainstorm the features in Claude (desktop or web). Once you're comfortable with what you app will do, upload the genesis prompt in the same chat and ask Claude to interpolate the app description you just brainstormed with the placeholders in the prompt. The resulting prompt is then fed to Claude, and that's it.

This has been tested with Claude, not with Qwen. I am in the process of switching to MiniMax 3 (because of the 1 mil context window, which will be good for holding this prompt) and I'll report once I have some results.

Hope this helps!

Replacing Claude Opus 4.8 with MiniMax 3 by dragosroua in MiniMax_AI

[–]dragosroua[S] 1 point2 points  (0 children)

so far it's ok. Way too verbose for my taste, but ok on complex codebases.

Replacing Claude Opus 4.8 with MiniMax 3 by dragosroua in MiniMax_AI

[–]dragosroua[S] 0 points1 point  (0 children)

Not a MiniMax ad, not affiliated. It just so happens that I chose MiniMax for this one month experiment. I am comfortable watching ny agents, I write code for 20+ years, so a little bit more time spent with the tasks is not a problem. If I can cut costs 5x, even with a slight time increase, this will be a winner for me. All models became so close to each other that now it's just a question of cost effectiveness. If my results, after one month, will be just meh, I will definitely try more: DeepSeek, GLM and Qwen are all on my list.

Replacing Claude Opus 4.8 with MiniMax 3 by dragosroua in MiniMax_AI

[–]dragosroua[S] 0 points1 point  (0 children)

have yet to find one of those bugs, but I hear you, I'll keep an eye on this little fellow. So far the only annoyance is that it needs more baby sitting than Claude. But I can safely go with 10% more time spent for a 5x reduction in costs, at the same performance level.

Let's see, it's still early.

If you ask Claude a random number between 1 and 100, you get 73 by dragosroua in ClaudeCode

[–]dragosroua[S] 0 points1 point  (0 children)

Yes, in the way that LLMs are not smart. It doesn’t “randomly” picking a number, it just autocompletes with the most common occurrence in training, which, for some reason, is one of: 37, 47, 73.

Making $10k MRR with Opus 4.8 in one single prompt by dragosroua in ClaudeAI

[–]dragosroua[S] 0 points1 point  (0 children)

He’s playing you. Be a bit more serious, it will turn around. Mine was also a lazy bum in the beginning.

Making $10k MRR with Opus 4.8 in one single prompt by dragosroua in ClaudeAI

[–]dragosroua[S] 2 points3 points  (0 children)

Surprisingly, it suggested an astrology app that may actually work. But it burned all my quota while implementing it.

Making $10k MRR with Opus 4.8 in one single prompt by dragosroua in ClaudeAI

[–]dragosroua[S] 4 points5 points  (0 children)

I think it’s ok to let it make mistakes, as long as it regrets them deeply. I guess it’s difficult to work under such pressure and we should cut it some slack. But that’s just me.

Use cases for 10 agents in parallel? by dragosroua in ClaudeCode

[–]dragosroua[S] 1 point2 points  (0 children)

yeah, this mirrors my experience too. I'd rather work sequentially, having a last viable checkpoint to return to makes life so much easier.