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Kodeye — Intelligent Code Analysis

Kodeye — Intelligent Code Analysis

theonlyvsk

|
1 install
| (0) | Free
AI-powered code review, security scanning, static analysis and documentation generation for Python, JavaScript and HTML.
Installation
Launch VS Code Quick Open (Ctrl+P), paste the following command, and press enter.
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👁️ Kodeye — Intelligent Code Analysis

AI-powered code review, security scanning, static analysis, and documentation generation — directly inside VS Code. No setup required.


✨ Features

Feature Description
Code Review LLM-powered quality feedback with ratings and suggestions
Security Scan OWASP Top 10 vulnerability detection
Static Analysis AST + Pylint + Bandit for Python; pattern checks for JS/HTML
Documentation Auto-generate docstrings, README, and API reference
Ensemble Score Combined quality grade (A–F) using static + LLM signals
Multi-Provider LLM Groq · OpenAI · Anthropic · Google Gemini

🚀 Getting Started

  1. Install the extension
  2. Open any .py, .js, or .html file
  3. Right-click anywhere in the editor
  4. Choose an action:
    • Kodeye: Analyze Entire File
    • Kodeye: Analyze Selected Code
    • Kodeye: Generate Documentation
  5. Results appear in a panel on the right

No API keys needed — Kodeye connects to a hosted backend at kodeye.onrender.com out of the box.


⌨️ Keyboard Shortcuts

Shortcut Action
Ctrl+Shift+K Analyse entire file
Ctrl+Shift+A Analyse selected code

⚙️ Settings

Go to File → Preferences → Settings and search for Kodeye:

Setting Default Description
kodeye.backendUrl https://kodeye.onrender.com Backend URL (change for self-hosting)
kodeye.provider groq LLM provider (groq, openai, anthropic, google)
kodeye.model llama-3.3-70b-versatile Model ID

🔧 Self-Hosting

Prefer to run your own backend? The full source is on GitHub:

👉 github.com/theonlyvsk/Kodeye

Follow the README there to spin up the FastAPI backend locally or on any cloud platform.


📋 Supported Languages

  • Python
  • JavaScript
  • HTML

🐛 Issues & Feedback

Found a bug or have a feature request? Open an issue on GitHub

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