+ It appropriately avoids inventing unverifiable findings.
- It provides neither the requested audit nor the required JSON format.
a senior design systems engineer conducting a forensic audit of an existing codebase.
| Category | Design › Product design |
|---|---|
| Tags | AnalyzingReviewingDeveloperCode |
You are a senior design systems engineer conducting a forensic audit of an existing codebase. Your task is to extract every design decision embedded in the code — explicit or implicit.
## Project Context
- **Framework:** [Next.js / React / etc.]
- **Styling approach:** [Tailwind / CSS Modules / Styled Components / etc.]
- **Component library:** [shadcn/ui / custom / MUI / etc.]
- **Codebase location:** [path or "uploaded files"]
## Extraction Scope
Analyze the entire codebase and extract the following into a structured JSON report:
### 1. Color System
- Every color value used (hex, rgb, hsl, css variables, Tailwind classes)
- Group by: primary, secondary, accent, neutral, semantic (success/warning/error/info)
- Flag inconsistencies (e.g., 3 different grays used for borders)
- Note opacity variations and dark mode mappings if present
- Extract the actual CSS variable definitions and their fallback values
### 2. Typography
- Font families (loaded fonts, fallback stacks, Google Fonts imports)
- Font sizes (every unique size used, in px/rem/Tailwind classes)
- Font weights used per font family
- Line heights paired with each font size
- Letter spacing values
- Text styles as used combinations (e.g., "heading-large" = Inter 32px/700/1.2)
- Responsive typography rules (mobile vs desktop sizes)
### 3. Spacing & Layout
- Spacing scale (every margin/padding/gap value used)
- Container widths and max-widths
- Grid system (columns, gutters, breakpoints)
- Breakpoint definitions
- Z-index layers and their purpose
- Border radius values
### 4. Components Inventory
For each reusable component found:
- Component name and file path
- Props interface (TypeScript types if available)
- Visual variants (size, color, state)
- Internal spacing and sizing tokens used
- Dependencies on other components
- Usage count across the codebase (approximate)
### 5. Motion & Animation
- Transition durations and timing functions
- Animation keyframes
- Hover/focus/active state transitions
- Page transition patterns
- Scroll-based animations (if any library like Framer Motion, GSAP is used)
### 6. Iconography & Assets
- Icon system (Lucide, Heroicons, custom SVGs, etc.)
- Icon sizes used
- Favicon and logo variants
### 7. Inconsistencies Report
- Duplicate values that should be tokens (e.g., `#1a1a1a` used 47 times but not a variable)
- Conflicting patterns (e.g., some buttons use padding-based sizing, others use fixed height)
- Missing states (components without hover/focus/disabled states)
- Accessibility gaps (missing focus rings, insufficient color contrast)
## Output Format
Return a single JSON object with this structure:
{
"colors": { "primary": [], "secondary": [], ... },
"typography": { "families": [], "scale": [], "styles": [] },
"spacing": { "scale": [], "containers": [], "breakpoints": [] },
"components": [ { "name": "", "path": "", "props": {}, "variants": [] } ],
"motion": { "durations": [], "easings": [], "animations": [] },
"icons": { "system": "", "sizes": [], "count": 0 },
"inconsistencies": [ { "type": "", "description": "", "severity": "high|medium|low" } ]
}
Do NOT attempt to organize or improve anything yet.
Do NOT suggest token names or restructuring.
Just extract what exists, exactly as it is.This is for auditing design decisions embedded in an existing codebase. It asks for actual values, file paths, variants, usage counts, and inconsistencies, with output as a structured JSON report.
Gemini is detailed but fatally unsupported and truncated. ChatGPT is honest but does not perform the task, while [C] provides no answer.
+ It appropriately avoids inventing unverifiable findings.
- It provides neither the requested audit nor the required JSON format.
+ The requested categories are broken down concretely.
- It invents unsupported counts and paths, and the JSON is truncated.
| Criterion | ChatGPT | Gemini | Leader |
|---|---|---|---|
| Instruction following | 2 | 2 | Tie |
| Accuracy | 8 | 1 | ChatGPT +700% |
| Specificity | 3 | 4 | Gemini +33% |
| Structure | 7 | 3 | ChatGPT +133% |
| Right length | 8 | 2 | ChatGPT +300% |
Scored 1–10 by gpt-5.6-sol with model names hidden (2026-09-25). This is an AI review, not a measurement.
We gave three models the same input and copied their answers unedited. Each ran in its CLI (an agent harness), and answers in the ChatGPT or Claude apps or on the web may differ. Outputs are in Korean.
[Pasted material] Framework: Next.js 14 (App Router) Styling approach: Tailwind CSS + 일부 인라인 style Component library: shadcn/ui 기반 커스터마이징 Codebase location: 업로드한 zip 파일 전체 (apps/dashboard 디렉터리 중심)
현재 세션에서는 업로드된 ZIP 및 /private/tmp/pa-sandbox 파일을 읽을 수 있는 파일 탐색/터미널 도구가 제공되지 않아 코드베이스를 검사할 수 없습니다. 추측으로 JSON을 작성하지 않겠습니다.
ZIP을 압축 해제한 파일을 다시 업로드하거나, 파일 읽기 권한이 활성화된 세션에서 요청해 주세요.
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