The Panel Get to the sauna!
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Feb 13, 2026 A spirited take on whether AI really is a turning point and why developers should be tinkering with frontier models now. They debate rebuilding legacy systems versus launching fresh products to move faster with AI. Conversation covers AI in education, how work and jobs might shift, and practical steps like tightening up personal finances for an uncertain near future.
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Legacy Code Slows AI Iteration
- Legacy code and interdependent components slow AI-driven iteration compared to greenfield projects.
- New projects built with AI iterate faster because maintainers aren't precious about underlying code.
Design New Projects For AI Iteration
- When building new apps, design with modern stacks and AI-friendly architecture to ease agent-driven changes.
- Accept AI-generated code you don't love and iterate from there rather than preserving legacy patterns.
Spin Up New Products To Escape Legacy
- Building a separate new product can bypass legacy constraints and reveal faster workflows.
- Fresh parallel projects can later inform improvements to the main product.