Founder Mode The Future of AI-Built Software with Nima Keivan
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
Connect with Jason