We Deleted 77% of Our Code and Got Better Results: NeuralBridge V10 The brutal truth about why simpler is better in AI API reliability. The Wake-Up Call We built NeuralBridge to solve one problem: AI API calls fail, and developers need automatic recovery without babysitting. After 9 versions and 13,000 lines of code, we made a disturbing discovery. Our "smartest" version was actually our worst. The V9 Bayesian Experiment: When More Complexity Hurts In V9, we implemented Bayesian inference for fault diagnosis. It sounded brilliant: Probabilistic fault classification Prior probabilities updated with new evidence Theoretically optimal decision-making The results? Version Timeout Recovery Invalid Model Total V8.2 (Rules) 100% 100% 100% V9 (Bayesian) 99.3% 100% 99.7% V9 was mathematically worse than V8.2's simple if-else statements. The "smart" Bayesian approach added overhead that actually hurt performance. After 600 real API calls testing both approaches, the evidence was undeniable.…