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International Institute of Information Technology, Hyderabad
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LLMs can achieve over 80% accuracy in extracting architectural insights from code commits, but often miss the critical rationale behind design choices.
High technical debt in agentic AI frameworks could lead to significantly higher runtime energy costs, revealing a critical blind spot for sustainability in AI deployment.
