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Test Digicity: City Builder: https://testflight.apple.com/join/ueaq8JD1
The way we structure software organizations is fundamentally incompatible with the reality of building alongside AI. While most teams treat generative models as glorified auto-complete, the industry is shifting rapidly toward fully agentic execution—and traditional engineering pipelines are cracking under the pressure.
In this episode, we break down real-world building in public, starting with a hands-on look at game scenario mechanics, UI scaling challenges, and multi-device constraints. From there, we tackle the hard truth of AI development: what happens when your models hit a wall on novel problems, and how human code slop compares to machine-generated code.
We explore the shifting skill set every engineer needs today. Success no longer comes from purely writing lines of code, but from mastering the art of macro-management—knowing exactly when to give broad direction, when to micromanage an edge-case bug, and how to track decisions across dozens of concurrent AI agents. Discover why legacy product management tools, artificial backlogs, and endless grooming sessions are officially dead.
Stop letting outdated corporate frameworks hold back your engineering velocity. Stream the full conversation to learn how to scale your output, maintain strict quality guardrails, and build a high-signal tech culture ready for the agentic future.
(00:00) Hello!
(01:38) Building city scenarios with historical economic anchors.
(11:21) Solving multi-device scaling and UI constraints.
(15:45) Hitting the limits of generative AI.
(27:25) Why modern software structures reject AI.
(33:40) Transitioning from individual coder to manager.
(43:40) Multitasking across multi-agent development pipelines.
(54:45) Why traditional backlog grooming is obsolete.
Watch on YouTube: https://www.youtube.com/live/FjjKrxy9ZnU
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Listen:
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https://www.twitch.tv/3reate