Outside Insights: Fireside Chat with Greg Baugues and Jeff Casimir
AI is reshaping how we work, learn, and create. In our latest Outside Insights fireside chat, Jeff Casimir, Executive Director of Turing School of Software and Design, sat down with Greg Baugues to talk about the reality of AI in software development, the misconceptions even technical people have, and how AI is becoming an essential tool for the future of coding. The following is a brief recap AI in Software Development: Where Are We Now? Many people associate Gen AI with problem solving and simple text manipulation—like summarizing documents or writing cover letters—however, the real power of AI goes far beyond that. During the chat, Greg shared some of the most interesting AI use cases he’s explored, including: LLMs as non-judgmental coding tutors – AI tools like Claude and Cursor help developers onboard faster, understand complex codebases, and debug issues. AI-assisted productivity boosts – Developers leveraging AI effectively could see 2x or even 10x improvements in their efficiency. Tool orchestration and automation – AI is enabling workflows that previously required manual intervention, changing how software is built and maintained.

AI is reshaping how we work, learn, and create. In our latest Outside Insights fireside chat, Jeff Casimir, Executive Director of Turing School of Software and Design, sat down with Greg Baugues to talk about the reality of AI in software development, the misconceptions even technical people have, and how AI is becoming an essential tool for the future of coding. The following is a brief recap
AI in Software Development: Where Are We Now?
Many people associate Gen AI with problem solving and simple text manipulation—like summarizing documents or writing cover letters—however, the real power of AI goes far beyond that. During the chat, Greg shared some of the most interesting AI use cases he’s explored, including:
LLMs as non-judgmental coding tutors – AI tools like Claude and Cursor help developers onboard faster, understand complex codebases, and debug issues.
AI-assisted productivity boosts – Developers leveraging AI effectively could see 2x or even 10x improvements in their efficiency.
Tool orchestration and automation – AI is enabling workflows that previously required manual intervention, changing how software is built and maintained.