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What happens when AI can write code faster than enterprises can understand its risk?
In this Season 20 opener of XTrawAI, Raghu Banda speaks with Aamir Siddiqui, Co-founder and CEO of OrangePro AI, about the growing quality challenge created by AI-powered software development. The conversation explores how frontier models and deterministic, behavior-level risk mapping can complement each other to help engineering teams identify hidden dependencies, testing gaps, and software risks before they reach production.
- How frontier AI models and deterministic software-risk mapping see the same codebase through very different lenses.
- Why behavior-level mapping, repeatability, and evidence can become critical for enterprise software quality and governance.
- How engineering teams can combine continuous deterministic risk analysis with deeper AI model reviews to create a stronger quality layer for the agentic coding era.
You can reach @ Aamir Siddiqui
My LinkedIn @ Raghu Banda
Website @ XTraw AI and OrangePro AI
More information on GitHub
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면책 조항: 이 페이지에 포함된 팟캐스트와 작품은 Venkata"Raghu Banda"에서 가져온 것입니다. 이 팟캐스트는 소유자의 재산이며 Listen Notes, Inc.와 제휴하거나 보증하지 않습니다.
