Maintainable
Justine Gehring: Refactoring Software at Scale with AI
- Autor: Vários
- Narrador: Vários
- Editor: Podcast
- Duración: 0:48:07
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Sinopsis
Robby sits down with Justine Gehring, an AI Research Engineer at Moderne, to explore how AI tools are transforming code maintenance and scalability. They dive into the unique ways AI can support refactoring for massive and legacy codebases, from retrieval-augmented generation (RAG) to lossless semantic trees, and discuss how developers can benefit from AI-assisted planning and refactoring.Justine shares her background transitioning from academia to industry and reflects on the essential role of reproducibility in AI, why maintainable code is often overlooked in research, and the challenges of balancing innovation with real-world reliability in software projects.Topics DiscussedWhat Makes Software Maintainable: Justine’s take on good documentation, reusable code, and ensuring new team members can quickly navigate a codebase. [00:00:42]Academia vs. Industry in Code Maintainability: Why reproducibility and code maintenance often diverge in research settings, and how industry standards address this gap. [00:01:14