AI can write code faster than ever. But what happens when that speed comes at the cost of smarter decisions?
In this episode of The Digital Transformist, host Michael LaVista sits down with CTO Josh Deason-Schroeder to explore the hidden risks of AI-assisted development and why faster coding doesn't always mean better software.
Drawing from real-world experience, Josh breaks down how AI can steer developers toward short-term fixes, create costly architectural decisions, and introduce more bugs than it solves. He shares why even the most advanced AI tools still need human oversight and how developers can avoid building themselves into a corner.
From technical debt to technology lock-in, this conversation explores what happens when teams rely too heavily on AI and why understanding your own code is more important than ever.
If you're building software with AI or leading a development team, this episode is a must-watch. Subscribe for more conversations on the realities of AI, technology, and digital transformation.
Chapters:
00:00 - Intro
00:43 - When AI First Appeared on the Radar
01:58 - The Honeymoon Phase and Early Disappointments
03:46 - Learning AI as a Student vs Expert
06:06 - Where AI Falls Short in Strategy
07:48 - Architecture Decisions and Technology Lock-In
10:36 - The Supabase Example and Refactoring Costs
12:58 - Setting Up Infrastructure with AI Tools
15:24 - Code Review and Quality Control Challenges
19:15 - Testing Limitations and Security Concerns
22:40 - When to Use AI vs Human Judgment
25:30 - Future of AI in Software Development
Get Mike's book "Superpowered" on Amazon: https://www.amazon.com/dp/B0F1Y2M3X4
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