Autonomous RL-powered flight systems hit a major snag recently. Got it fully functional about two weeks back, but then things fell apart. Spent days hunting down four absolutely brutal bugs—the kind that make you question everything. Honestly nerve-wracking; almost rolled back the entire implementation. The real takeaway though: combining hardware integration with deep learning is deceptively complex. There's a huge gap between theory and reality when neural networks meet actual physical systems. Every variable matters, and one overlooked detail cascades into failure.