Azure AI-Powered Debugging Assistant
python, windows-azure
Preferred qualifications
- Experience: Intermediate
Build a cloud-native AI solution(architecture and Document Flow) on Azure that continuously monitors application errors from azure storage , analyzes root causes using a Retrieval-Augmented Generation (RAG) pipeline, and automatically notifies developers with possible solutions.
Over time, the system continuously learns from resolved incidents, creating an enterprise AI knowledge base that can eventually enable automated debugging.
Reduce debugging time by 60–80%
Automatically identify recurring issues
Improve Mean Time To Resolution (MTTR)
Build organization-specific AI knowledge
Reduce dependency on senior developers
Create a foundation for autonomous incident resolution
Langchain,life cycle example etc
Note: I would like to create a architectural diagram on this
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