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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