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LLM based code refactoring for large scale brown field code base
Yao Lu

This is a talk about how we refactor the code base and improve its observability posture for a system with 300+ git repos and 4GB+ of code and scripts. How we use the LLM to approach the problem, find the critical information, and create a migration plan and executed it.

I will share our learning and journey throughout this piece of work.

May be physical meetup at Mantel group TBC

Stream at: https://www.twitch.tv/sydneyaltnet

Artificial Intelligence
Software Architecture
C#
.NET
Software Development

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