Autonomous debugging, powered by generative AI, is transforming software development by automating the identification, diagnosis, and resolution of coding errors, leading to faster time-to-market, reduced downtime, and improved operational efficiency.
A discussion post on Reddit's LocalLLaMA subreddit about logging the output of running models and monitoring performance, specifically for debugging errors, warnings, and performance analysis. The post also mentions the need for flags to output logs as flat files, GPU metrics (GPU utilization, RAM usage, TensorCore usage, etc.) for troubleshooting and analytics.
