Episode
The Impact of Generative AI on Software Development
- Podcast
- AI Engineering Podcast
- Published
- Nov 22, 2024
- Duration seconds
- 3178
- Processing state
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Summary
Summary In this episode of the AI Engineering Podcast, Tanner Burson, VP of Engineering at Prismatic, talks about the evolving impact of generative AI on software developers. Tanner shares his insights from engineering leadership and data engineering initiatives, discussing how AI is blurring the lines of developer roles and the strategic value of AI in software development. He explores the current landscape of AI tools, such as GitHub's Copilot, and their influence on productivity and workflow, while also touching on the challenges and opportunities presented by AI in code generation, review, and tooling. Tanner emphasizes the need for human oversight to maintain code quality and security, and offers his thoughts on the future of AI in development, the importance of balancing innovation with practicality, and the evolving role of engineers in an AI-driven landscape. Announcements Hello and welcome to the AI Engineering Podcast, your guide to the fast-moving world of building scalable and maintainable AI systems Your host is Tobias Macey and today I'm interviewing Tanner Burson about the impact of generative AI on software developers Interview Introduction How did you get involved in machine learning? Can you describe what types of roles and work you consider encompassed by the term "developers" for the purpose of this conversation? How does your work at Prismatic give you visibility and insight into the effects of AI on developers and their work? There have been many competing narratives about AI and how much of the software development process it is capable of encompassing. What is your top-level view on what the long-term impact on the job prospects of software developers will be as a result of generative AI? There are many obvious examples of utilities powered by g…