Stop AI-generated interfaces from all looking the same. DesignLint forces AI agents to understand the user, make 9 deliberate design decisions, and critique the result before writing code. Two modes: Create from scratch, or Audit and fix existing UIs.
Force distinctive, human-feeling UI/UX design before any AI agent writes code. Audit and improve existing interfaces.
By Ruben Granet · v1.2.0 · MIT License
AI coding agents converge. Left unconstrained, they always produce the same thing:
UI: Inter font · Purple/blue gradients · White background · rounded-xl cards · Opacity fade-ins
UX: Tab bar (5 icons) · List → Push detail · Modal for everything · Green toast on success · 3-screen onboarding carousel
Voice: "Submit" · "An error occurred" · "No items found" · "Success!" · (spinner)
This isn't a style preference — it's a structural failure. Every AI-generated interface looks, feels, and sounds like every other AI-generated interface.
DesignLint breaks that convergence with two modes:
"Build me a task management app"
The agent stops before writing code. It identifies the user and their emotional state, picks a creative tension, selects an archetype as a departure point (not a template), makes 9 design decisions covering aesthetics through voice, and runs a human critique before shipping.
"What's wrong with this UI?" / "Improve this interface" / "Review this design"
The agent documents what exists, runs the full convergence scan (UI, UX, and human), scores the design 1–5, produces an improvement brief with the top 3 highest-impact changes, and optionally executes the improvements.
Without this skill, an AI agent asked to "build a task management app" produces:
UI: Inter · #7C3AED primary · white bg · rounded-xl cards · fade-in
UX: Tab bar (Home, Tasks, Calendar, Search, Profil
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