EPISODE 32

Founder Mode sits down with Natalie Kaminski of JetRockets to cut through AI hype in software development. Natalie shares findings from a five-month experiment using code assistants: top engineers see ~30% efficiency on tedious tasks, but AI can duplicate components, forget context, and mislead juniors who can’t evaluate output. She argues developers matter more than ever—AI augments, not replaces—while real value comes from problem definition, secure architecture, and disciplined human review. Tools help with migrations, boilerplate, and tests; judgment, clarity, and empathy still decide what ships.

CHAPTERS

00:00 – There’s no “I” in today’s AI

03:30 – Do developers still matter?

04:51 – AI as augmentation: the calculator analogy

06:41 – Workable AI: migrations, boilerplate, tests (~30% gain)

19:08 – Where AI breaks: duplication, lost context, human review

LINKS

Connect with Natalie Kaminski

jetrockets.com • LinkedIn • X/Twitter

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