AI can scaffold an app in seconds, but can it refactor that thousand-line React file when the first bug hits production?
In this episode, I sit down with Brian Jenney software engineer and program owner of the coding bootcamp Parsity, to draw a hard line between “code that runs” and “code that lasts.” From mentoring career-switchers to stress-testing AI in real-world pipelines, Brian shares why craftsmanship and product judgment still beat copy-paste prompts.
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Check out Parsity here: https://www.parsity.io/
Key Discussion Points:
“You have to be smarter than the AI.” Why blindly shipping generated code is the fastest way to paint yourself into a technical-debt corner
The hidden risk of non-deterministic models—like failing a simple “greater-than” check in production tests
A training rule of thumb: no AI for your first months of study, then use it only to reinforce fundamentals—not replace them
The “house-of-cards” analogy for code quality and why maintainability still matters when AI writes the first draft
How Parsity’s tight-knit model turns plumbers, teachers, and even doctors into disciplined, product-minded engineers
