Codex does not fix bad design: it amplifies it

My thesis is that Codex will make two kinds of teams more visible. Some will use AI to produce more screens and more code, only to discover later that they have also multiplied their inconsistencies. Others will use it to multiply the impact of a clearly defined intent: clear contracts, models that represent the business, tests focused on relevant rules, and well-defined boundaries with external systems. In the second case, AI does not lower technical standards. It makes them more cost-effective. When a design change is clearly expressed, the tool can help propagate it, find dependencies, suggest tests, and eliminate mechanical work. But humans still set the direction, because that direction depends on understanding what promise the software makes to its users.

Full episode: https://youtu.be/cjl4ISOMy_E

🤖 AI-generated content: the script, voices, and images for this episode were produced with artificial intelligence tools.

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