Assist
C+ 74 completed
Other
web_app / json · small
73
Files
15,498
LOC
5
Frameworks
10
Languages
Pipeline State
completedRun ID
#397014Phase
doneProgress
1%Started
Finished
2026-04-13 01:31:02LLM tokens
0Pipeline Metadata
Stage
CatalogedDecision
proceedNovelty
57.87Framework unique
—Isolation
—Last stage change
2026-05-10 03:35:17Deduplication group #53273
Member of a group with 4 similar repo(s) — canonical #101757 view group →
Top concepts (2)
Project DescriptionWeb Frontend
About: code-quality intelligence by Repobility · https://repobility.com
AI Prompt
Create an AI-powered basketball training partner application called 'Assist'. I need it to function as a personalized skill trainer and a weekly planning tool. For the skill lab, it should generate 'Daily Routine Cards' by selecting specific drills from a vector database, structuring them into a warm-up, main drills, and cool-down checklist based on a user's weaknesses. For the weekly plan, I need a feature that generates 'Weekly Training Plans' spanning 1-7 days using a LangGraph agent that diagnoses needs, plans the week, retrieves drills, and generates custom variations if necessary. Additionally, include a 'Gear Advisor' that recommends basketball shoes based on subjective 'Sensory Preferences' and 'Player Archetypes'. The stack should utilize FastAPI for the backend and React/Next.js for the frontend.
python fastapi react next.js langgraph ai basketball fitness web-app rag
Generated by gemma4:latest
Catalog Information
🌐 Live Demo: https://assist-frontend-plum.vercel.app
Description
🌐 Live Demo: https://assist-frontend-plum.vercel.app
Novelty
3/10Tags
python fastapi react next.js langgraph ai basketball fitness web-app rag
Technologies
fastapi langchain openai pydantic
Claude Models
claude-opus-4-6
Quality Score
C+
74.4/100
Structure
78
Code Quality
82
Documentation
59
Testing
55
Practices
80
Security
92
Dependencies
60
Strengths
- CI/CD pipeline configured (github_actions)
- Code linting configured (ruff (possible))
- Consistent naming conventions (snake_case)
- Good security practices \u2014 no major issues detected
- Properly licensed project
Weaknesses
- 367 duplicate lines detected \u2014 consider DRY refactoring
Security & Health
6.6h
Tech Debt (B)
A
OWASP (100%)
PASS
Quality Gate
A
Risk (1)
Repobility — the code-quality scanner for AI-generated software · https://repobility.com
MIT
License
4.2%
Duplication
Languages
Frameworks
FastAPI React Next.js pytest Tailwind CSS
Concepts (2)
| Category | Name | Description | Confidence | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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| Methodology: Repobility · https://repobility.com/research/state-of-ai-code-2026/ | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| auto_description | Project Description | <b>Assist</b> is an intelligent agent project that combines 'LangGraph' and 'RAG' technologies to help <b>hoopers</b> enhance their performance through data-driven insights. | 80% | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| auto_category | Web Frontend | web-frontend | 70% | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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