Imagine cutting your legacy code modernization timeline from years to months. It’s no longer science fiction and this week’s guest is here to tell us how.
Rachelle Palmer, Director of Product Management at MongoDB, joins hosts Conor Bronsdon and Atindriyo Sanyal, for a discussion on the groundbreaking ways AI is modernizing legacy applications.
At MongoDB, Rachelle's forward-deployed AI engineering team is tackling the challenge of transforming complex, outdated codebases, freeing developers from technical debt. She details how LLMs are automating tasks like improving documentation, test generation, and even business logic conversion, dramatically reducing modernization timelines from years to months. What once demanded teams of dozens can now be achieved with a small, highly efficient team.
Chapters:
00:00 Introduction and Host Welcome
00:58 Challenges in Modernizing Legacy Applications
02:52 Real-World Examples of Code Modernization
04:00 The Role of LLMs in Code Modernization
08:01 Measuring Success in AI-Powered Modernization
12:28 The Future of AI in Engineering
16:17 Evaluating Modernization Success
21:12 Returning to Your Startup Roots
29:07 Forward Deployed AI Engineers
35:36 Importance of Academic Research in AI
42:10 Conclusion and Farewell
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Rachelle PalmerMongoDBApplication Modernization Factory
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