EPISODE 49

Nima Keivan joins Kevin Henrikson and Jason Shafton to break down what it takes to move AI-built software from demos into production. Drawing on his background in robotics and autonomy, Nima explains why the real challenge is not generating code but closing the “autonomy gap” between what a system can do reliably and the messy corner cases humans still have to carry. He unpacks why durable software starts with requirements, how his team approaches PRD-driven development and scenario testing, why just-in-time mocking matters when automations touch live enterprise systems, and where natural-language software building is already working versus where full end-to-end autonomy is still not ready.

CHAPTERS

00:00 – The autonomy gap between demos and production

03:15 – What robotics teaches AI builders about reliability

07:32 – Why code generation is not the real bottleneck

13:18 – How Durable turns operator workflows into production software

26:32 – When natural language can actually replace writing code

LINKS

Connect with Nima Keivan

Durable • LinkedIn • X/Twitter

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Connect with Kevin

LinkedIn • X/Twitter

Connect with Jason

LinkedIn • X/Twitter