The role of software design in an AI world
summary
Claims that AI coding assistants change daily work and raise abstraction level, based on six months with code assistants applied to real Rails codebases rather than toy apps. Tools tested include Copilot Codex ChatGPT Gemini Claude and specialist LLM stacks. Result: developers shift toward orchestration and higher-level system design, more apps get built faster, and codebases may eventually be organized for agents rather than humans. Practical takeaway: deep stack skills remain valuable.
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chapters (6)
- 0:00Introduction
- 3:50Our role as builders
- 8:09AI coding assistants panic
- 13:52Tech shifts history
- 20:54AI impact speculation
- 23:23Predictions and redefining our job in the AI age
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