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The complexity of modern cloud platforms and the highly distributed nature of today’s software systems present significant challenges for debugging, anomaly detection, and root cause analysis. Traditional methods for software debugging, monitoring, and performance analysis are often limited, as they focus primarily on known issues. The rise of large language models (LLMs) has further transformed software development by automating tasks, often reducing developers’ direct engagement with code and decreasing system awareness.