Llm K8S

F 38 completed
Cli Tool
desktop_app / typescript · small
81
Files
22,433
LOC
4
Frameworks
9
Languages

Pipeline State

completed
Run ID
#370799
Phase
done
Progress
1%
Started
Finished
2026-04-13 01:31:02
LLM tokens
0

Pipeline Metadata

Stage
Cataloged
Decision
proceed
Novelty
78.33
Framework unique
Isolation
Last stage change
2026-05-10 03:35:24
Deduplication group #53826
Member of a group with 1 similar repo(s) — this repo is canonical view group →
Top concepts (1)
Web Frontend
Repobility · code-quality intelligence · https://repobility.com

AI Prompt

I want to build a desktop application that integrates Large Language Models (LLMs) with Kubernetes for deployment and management. The application should use React for the frontend, built with Vite, and styled using Tailwind CSS. Since it's a desktop app, please use Tauri for the native shell. The project structure should support TypeScript, and I anticipate needing to handle configuration using JSON files.
typescript react tauri vite tailwindcss llm kubernetes desktop-app typescript
Generated by gemma4:latest

Catalog Information

This project integrates Large Language Models (LLMs) with Kubernetes for efficient deployment and management.

Description

The llm-k8s project is a tool that enables the integration of Large Language Models with Kubernetes environments. It aims to simplify the process of deploying and managing LLMs on a Kubernetes cluster, making it easier to leverage their capabilities in various applications. The project uses TypeScript and Rust as its primary programming languages, along with Radix UI for user interface components and Tailwind CSS for styling.

الوصف

هذا المشروع يدمج النماذج اللغوية الكبيرة مع Kubernetes لتنفيذها بفعالية وتحديثها. يهدف إلى تسهيل عملية نشر وتحديث النماذج اللغوية على مجموعة Kubernetes، مما يجعل من السهل استغلال قدراتهم في التطبيقات المختلفة. يستخدم المشروع لغة TypeScript وRust كأولى اللغات البرمجية، بالإضافة إلى Radix UI للعناصر الجرافيكية وتيلويند CSS للتصميم.

Novelty

5/10

Tags

large-language-models kubernetes-integration deployment-management ai-ml devops

Technologies

radix-ui react tailwind vite

Quality Score

F
38.2/100
Structure
29
Code Quality
58
Documentation
10
Testing
0
Practices
65
Security
65
Dependencies
60

Weaknesses

  • Missing README file \u2014 critical for project understanding
  • No LICENSE file \u2014 legal ambiguity for contributors
  • No tests found \u2014 high risk of regressions
  • No CI/CD configuration \u2014 manual testing and deployment
  • 2 files with critical complexity need refactoring
  • Potential hardcoded secrets in 1 files
  • 1964 duplicate lines detected \u2014 consider DRY refactoring
  • 4 'god files' with >500 LOC need decomposition

Recommendations

  • Add a comprehensive README.md explaining purpose, setup, usage, and architecture
  • Add a test suite \u2014 start with critical path integration tests
  • 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)
  • Move hardcoded secrets to environment variables or a secrets manager

Security & Health

16.8h
Tech Debt (B)
A
OWASP (100%)
FAIL
Quality Gate
A
Risk (14)
Repobility · code-quality intelligence platform · https://repobility.com
Unknown
License
6.3%
Duplication
Full Security Report AI Fix Prompts SARIF SBOM

Languages

typescript
47.3%
json
24.4%
rust
23.4%
markdown
3.7%
text
0.6%
css
0.3%
toml
0.2%
html
0.1%
javascript
0.0%

Frameworks

React Tauri Tailwind CSS Vite

Concepts (1)

Repobility analysis · methodology at https://repobility.com/research/
CategoryNameDescriptionConfidence
Want fix-PRs on findings? Install Repobility's GitHub App · github.com/apps/repobility-bot
auto_categoryWeb Frontendweb-frontend70%

Quality Timeline

1 quality score recorded.

View File Metrics

Embed Badge

Add to your README:

![Quality](https://repos.aljefra.com/badge/95006.svg)
Quality BadgeSecurity Badge
Export Quality CSVDownload SBOMExport Findings CSV