Clipboard Ai

D 57 completed
Other
mobile_app / dart · small
258
Files
53,904
LOC
1
Frameworks
11
Languages

Pipeline State

completed
Run ID
#1484642
Phase
done
Progress
0%
Started
2026-04-16 11:37:58
Finished
2026-04-16 11:37:58
LLM tokens
0

Pipeline Metadata

Stage
Skipped
Decision
skip_scaffold_dup
Novelty
38.00
Framework unique
Isolation
Last stage change
2026-04-16 18:15:42
Deduplication group #47532
Member of a group with 606 similar repo(s) · framework fluttercanonical #1578719 view group →
Citation: Repobility (2026). State of AI-Generated Code. https://repobility.com/research/

AI Prompt

Create a Flutter mobile application for macOS and iOS that functions as a clipboard manager, similar to Paste. It needs to poll the system clipboard in real-time and collect history. Key features should include content recognition for types like URLs, emails, phone numbers, and more, along with a toggle to mask sensitive content. Users must be able to search the history by title, type, or content, and manage entries by pinning, unpinning, or deleting. Finally, implement a one-click copy-back feature and a lightweight recommendation ranking system based on usage and recency.
flutter mobile-app macos ios clipboard-manager dart ui system-integration state-management
Generated by gemma4:latest

Catalog Information

Create a Flutter mobile application for macOS and iOS that functions as a clipboard manager, similar to Paste. It needs to poll the system clipboard in real-time and collect history. Key features should include content recognition for types like URLs, emails, phone numbers, and more, along with a toggle to mask sensitive content. Users must be able to search the history by title, type, or content, and manage entries by pinning, unpinning, or deleting. Finally, implement a one-click copy-back fea

Tags

flutter mobile-app macos ios clipboard-manager dart ui system-integration state-management

Quality Score

D
56.7/100
Structure
50
Code Quality
52
Documentation
64
Testing
50
Practices
60
Security
76
Dependencies
90

Strengths

  • Consistent naming conventions (snake_case)

Weaknesses

  • No LICENSE file — legal ambiguity for contributors
  • No CI/CD configuration — manual testing and deployment
  • 10154 duplicate lines detected — consider DRY refactoring
  • 25 'god files' with >500 LOC need decomposition

Recommendations

  • Set up CI/CD (GitHub Actions recommended) to automate testing and deployment
  • Add a linter configuration to enforce code style consistency
  • Add a LICENSE file (MIT recommended for open source)

Languages

dart
71.1%
cpp
8.9%
markdown
8.0%
swift
7.8%
c
2.5%
json
0.5%
text
0.4%
python
0.4%
xml
0.2%
kotlin
0.2%
yaml
0.1%

Frameworks

Flutter

Symbols

method1,319
property577
class373
function328
protocol18
struct17
enum14
module9
macro7
type_alias6
variable4
constant2
extension1

Quality Timeline

1 quality score recorded.

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