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LLMs don't just mimic human bugs—they fundamentally skew system failure distributions toward catastrophic crashes that standard deterministic fault-injection pipelines fail to surface.
Forget LLMs, simple process metrics like code age and developer activity are the real MVPs for predicting bugs that slip into production Python code.
Post-release software bugs aren't just about code complexity; they're a symptom of code age, frequent modification, and high churn, demanding a shift in testing focus.