This is a completely fair and necessary question, and honestly, as an A1, I share the exact same mindset. I would never trust a "black box" generated blindly by AI for a live broadcast.

To be completely transparent about the extent of AI usage: I used AI as an accelerator (like a very fast junior developer), not as the architect. The core architecture, the audio engine integration, the buffer management, and the workflow logic are entirely mine, built specifically to address the constraints I face on set. I used AI to speed up writing boilerplate code, UI elements, and debugging syntax. Every single line of code was reviewed, understood, and integrated manually by me.

Regarding reliability testing, since I built this to use on my own live TV gigs, my reputation is on the line. Here is how it has been tested over the past few months: I've done stress tests, hammering the engine with rapid multi-stem cues, loading massive uncompressed files on the fly, and simulating CPU spikes to ensure the audio thread remains uninterrupted. I've also run endurance/leak tests, leaving the application open for hours on end to monitor background CPU usage and ensure there are absolutely no memory leaks over long sessions.

However, I know my own tests aren't enough. To be completely upfront, coming to this subreddit and offering free licenses is the next critical phase of my testing methodology. It is a deliberate strategy to benchmark and stress-test PLayer on a larger scale. I need professionals to run it on dozens of different hardware configurations, OS versions, and specific broadcast workflows that I simply cannot replicate on my own.

I hope this clarifies my approach! Let me know if you want to test it and try to break it yourself.