Revolutionizing Code Maintenance with AI

01/06/25 • 50 min

Welcome to the 1st episode of season 3! In this episode of Disambiguation, host Michael Fauscette sits down with Matt Van Itallie, founder and CEO of SEMA, to explore the critical role of AI in code maintenance. They discuss the challenges that executives face in gaining visibility into their engineering organizations and discuss how SEMA aims to bridge that gap.
Matt shares his unique background, from his upbringing in a family of programmers to his journey through various sectors, including education and technology. He explains the origin of SEMA and its mission to provide a comprehensive understanding of code health, emphasizing the importance of translating complex technical data into actionable insights for business leaders.
The conversation covers a range of topics, including:-The difficulties of creating a unified CTO dashboard for engineering insights.
-The significance of context in assessing code quality and technical debt.
-The impact of generative AI on software development and maintenance.
-Strategies for managing risks associated with AI-generated code and open-source software.
Matt also offers valuable advice on how organizations can effectively manage technical debt and the importance of aligning engineering goals with business outcomes.
Tune in for an informative discussion that will help business leaders understand how to leverage AI tools for maximum impact in their software development processes!
Key Takeaways:-The importance of visibility in engineering organizations.
-How to contextualize code health metrics for executive understanding.
-The role of generative AI in enhancing productivity and code quality.
-Strategies for mitigating risks associated with AI and open-source software.
-Matt Recommends:
-Brian Kaplan, professor of economics at George Mason University
-Ethan Mollick, professor of management at Wharton.
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Previous Episode

Bridging the Gap: The Path Toward Human-Level AI

In this episode of the Disambiguation Podcast, host Michael Fauscette welcomes Michael Azoff, Chief Analyst at Omdia and author of "Toward Human-Level AI." Together, they explore the fascinating journey towards achieving human-level artificial intelligence (AI) and the significant gaps that still exist between current AI capabilities and true human-like intelligence.
Michael Azoff shares his insights on the challenges facing AI, including the limitations of large language models, the importance of inner motivation, and the role of embodied intelligence. They discuss how advancements in neuroscience can inspire the next generation of AI and the potential implications for businesses and society as a whole.
Tune in to discover:
The key characteristics that define human-level intelligence
The impact of neuroscience on AI development
The exciting and concerning use cases of AI in various sectors
The future of AI, including the potential of neuromorphic computing and agentic AI
Don't miss this thought-provoking conversation that delves into the intersection of technology, neuroscience, and the future of work!
Michael Azoff recommends: Dr Angie Ma, co-founder of faculty.ai
Subscribe to the Disambiguation Podcast for more insights on AI, generative AI, and business automation.
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For more research on AI and other software, visit arianeresearch.com. If you're an expert in AI, generative AI, or business automation, reach out to us at [email protected].
Join us next week for another enlightening episode!

Next Episode

Decision Intelligence Trends for 2025

Welcome to Episode 2 of Season 3 of the Disambiguation Podcast! In this episode, host Michael Fauscette dives into the fascinating world of Decision Intelligence and its trends for 2025, based on a research brief from Arion Research.
Join our co-host avatars, Joshua and Julia, as they explore how AI is set to revolutionize decision-making in businesses. Discover how AI can assist in everyday tasks, enhance strategic thinking, and even create digital twins for simulating business scenarios.Key topics include:-The role of AI in decision-making: collaboration between humans and machines
-The importance of data quality and its impact on AI outcomes
Applications of Decision Intelligence in healthcare and financial services
-The rise of personalized customer experiences through AI
Ethical considerations and the need for decision explainability
Whether you're a business leader, an AI enthusiast, or just curious about the future of decision-making, this episode is packed with insights that can help you navigate the evolving landscape of AI and business automation.
Don't forget to like, share, and subscribe for more episodes! If you enjoy the show, please leave us a review to help others find us. For more research on AI and other software, visit arionresearch.com.
Stay curious and keep those decisions intelligent!

Disambiguation - Revolutionizing Code Maintenance with AI

Transcript

Michael Fauscette:

Welcome to Disambiguation. I'm your host, Michael Fauscette. Each week, we interview experts in artificial intelligence, generative AI, and business automation to help business leaders understand how to use these tools for the biggest business impact. In our show today, we're going to take a look at the role of AI in code maintenance. I'm joined by Matt Van Itallie, founder and CEO of SEMA. Matt, welcome. Michael, thank you so much for having me. I'm really looking for