Design

Understanding product logic from code for design decisions

AI helps a designer inspect the product codebase and explain permissions, patterns, and implementation logic in plain English so the designer can understand how the product works before proposing changes.

Why the human is still essential here

The designer still validates AI explanations with engineering and uses that understanding to make informed design decisions rather than treating AI as the source of truth.

How people use this

Permission rule explanation

AI reads relevant files and explains which user roles can access or edit specific parts of the product in plain language.

Cursor / GitHub Copilot

UI state walkthrough

AI traces how components behave across loading, error, empty, and success states so designers understand current product behavior before redesigning it.

Claude / Cursor

Business logic summary

AI summarizes validations, dependencies, and backend rules that could affect a proposed UX change.

GitHub Copilot / Claude

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Personal Story
Medium

How AI became part of my UX design workflow

And what it looked like to work on a design team that intentionally experimented with AI for several months

It’s been a while since I posted here. I was honestly getting a little tired of the β€œAI is replacing designers” or β€œthe design process is dead” headlines.


When I opened Medium to write this article, I found a draft I’d started back in 2023 about how I was using ChatGPT in my day-to-day as a product designer. I never published it. Looking back, I think I was afraid of how the UX community would react, so I eventually gave up on it.


Finding that draft reminded me how much my workflow has changed since then. So, here’s my second attempt at writing this article. If you’re reading this… I finally hit Publish. πŸ˜…

LL
LaΓ­s Lara VaccoProduct Designer
Jul 15, 2026