Your GPT for coding. Contextualize your codebase with a powerfully chained AI

What is CodeMasterPro?

CodeMasterPro is an advanced AI-powered coding assistant designed to elevate the software engineering experience. It integrates with the Google Gemini API (required) and optionally with Brave Search API and Together AI, offering a suite of tools for debugging, documentation, code execution, and project context analysis. It runs as a Docker container and is intended for developers seeking an intelligent coding companion.

How to use CodeMasterPro?

Pull the Docker image using docker pull stefankumarasinghe/codemasterpro, then run it with docker run -e GOOGLE_API_KEY=YOUR_GEMINI_API_KEY -p 8000:8000 stefankumarasinghe/codemasterpro. Access the web UI at https://dwr4zchmi6x24.cloudfront.net/ after starting the container. Additional API keys can be set via the UI or environment variables.

Key features of CodeMasterPro

• AI-powered debugging with error identification and fixes
• Multi-language support across numerous programming languages
• Project context upload via ZIP, folder, or GitHub repo
• Runs Python and HTML code in a safe environment
• Memory and internet tools for effective RAG
• Customizable prompt, preferences, and UI themes

Use cases of CodeMasterPro

• Correct and improve existing code with AI suggestions
• Check Python code for vulnerabilities using SAST tool
• Visualize log data as charts or graphs
• Generate a full working chess game in HTML with all logic
• Run Python code directly within the assistant

FAQ from CodeMasterPro

What API keys are required?

A Google Gemini API key is required for core functionality. Brave Search API and Together AI API keys are optional but enhance search and reasoning capabilities.

How do I run CodeMasterPro?

You must have Docker installed. Pull the image docker pull stefankumarasinghe/codemasterpro, then run the container with your Gemini API key and expose port 8000. The UI can then be accessed via a web browser.

What tools are included?

CodeMasterPro includes tools for web searching (WEB), Stack Overflow lookup (STACK), internal documentation (INTERNAL), Python execution (PYTHON), complex computation (COMPUTE), log visualization (VISUALIZE), security testing (SAST), fast answers (LIGHTNING), deep analysis (DEEP ANALYSIS), GitHub example fetching (GITHUB), and project context (CONTEXT).

Is the project free to use?

The project is licensed under a Non-Commercial License. You may use it freely for non-commercial purposes, and you must credit the original author if you fork or use the application.