The system will help users to avoid maintenance overload. The idea is to identify unused components and suggest designers for lightweight Assets.
| Technology readiness | Risks | Complexity |
|---|---|---|
| 🟢 Ready for implementation | 🟡 Moderate risk |
🟢 Light complexity |
Check component ID within the exported Penpot file by parsing:
- <pages_id>.svg: parse by
penpot:component-id - components.svg: parse by
symbol
-
a python script for: [Sample]
- Extract component-id from <pages_id>.svg and components.svg
- Then, compare and identify the unused components
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Input: exported penpot files
-
Output: unused component name/id
-
Data: no need for training data
🟢 Pros
- Ready to use
- Simple and effective
- AI is not used for this task as it is more rule-based in nature, which ensures higher accuracy without relying on AI.
🔴 Cons
- It might be less attractive for designers than the co-pilot