Launch Ready
D 54 completed
Web App
unknown / python · small
63
Files
15,025
LOC
0
Frameworks
7
Languages
Pipeline State
completedRun ID
#369701Phase
doneProgress
1%Started
Finished
2026-04-13 01:31:02LLM tokens
0Pipeline Metadata
Stage
SkippedDecision
skip_scaffold_dupNovelty
42.67Framework unique
—Isolation
—Last stage change
2026-04-16 18:15:42Deduplication group #47544
Member of a group with 2 similar repo(s) — canonical #14176 view group →
Top concepts (1)
Web Backend
Methodology: Repobility · https://repobility.com/research/state-of-ai-code-2026/
AI Prompt
I want to build a permit management system called PermitMinder using Python. The system needs to handle tracking permits for various projects. Key functionalities should include checking for new exceedances, monitoring daily exceedances, and scraping data using tools like `echo_dmr_scraper.py` and `pa_dep_scraper.py`. It should also be able to send notifications via email and manage subscriptions. Please structure the core logic around files like `main.py` and ensure it can process data from CSV files like `alert_log.csv`.
python permit management data processing automation scraping email workflow
Generated by gemma4:latest
Catalog Information
PermitMinder is a project designed to help users manage and track permits for various projects.
Description
PermitMinder is an application that enables users to create, edit, and view permits in a centralized location. It allows users to input permit details, set reminders, and track deadlines. The application aims to simplify the process of managing permits, reducing the risk of missed deadlines and lost documents.
الوصف
يعد PermitMinder مشروعًا مصممًا لتحسين إدارة ومراقبة التراخيص المختلفة للمشاريع. يسمح المستخدمون بإنشاء وتحرير وإظهار التراخيص في مكان مركزي واحد. يمكنهم إدخال تفاصيل الترخيص، تعيين تذكيرات، ومتابعة الأجل. يساعد المشروع على بسط عملية إدارة التراخيص، مما يقلل من خطر عدم استيفاء الموعد وضياع الوثائق.
Novelty
5/10Tags
permit-management project-tracking deadline-reminders centralized-data simplified-permit-process
Technologies
click matplotlib numpy pandas plotly streamlit supabase
Claude Models
claude-opus-4.6
Quality Score
D
54.0/100
Structure
54
Code Quality
53
Documentation
65
Testing
35
Practices
43
Security
84
Dependencies
60
Strengths
- CI/CD pipeline configured (github_actions)
- Consistent naming conventions (snake_case)
- Good security practices \u2014 no major issues detected
- Properly licensed project
Weaknesses
- 8 bare except/catch blocks swallowing errors
- 553 duplicate lines detected \u2014 consider DRY refactoring
- 9 'god files' with >500 LOC need decomposition
Recommendations
- Add a test suite \u2014 start with critical path integration tests
- Add a linter configuration to enforce code style consistency
- Replace bare except/catch blocks with specific exception types
Security & Health
17.1h
Tech Debt (C)
A
OWASP (100%)
PASS
Quality Gate
A
Risk (3)
Citation: Repobility (2026). State of AI-Generated Code. https://repobility.com/research/
MIT
License
71.2%
Duplication
Languages
Frameworks
None detected
Concepts (1)
| Category | Name | Description | Confidence | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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| auto_category | Web Backend | web-backend | 70% | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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