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README.md
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Docker Integration: Run isolated environments for safe and reproducible code execution.
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Extensible & Modular: Easily add new commands, AI models, or workflows.
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Cross-Platform: Works in Linux, macOS, and Windows environments supporting Python and Docker.
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Tech Stack
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Languages: Python
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APIs: Gemini LLM API
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Containerization: Docker
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Terminal Control: Custom shell implementation with advanced cursor management
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Other: Optional extensions for code linting, testing, and deployment
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Installation
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Clone the repository:
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git clone https://github.com/Aravindh-dev12/Codic--AI-Coding-Terminal.git
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cd ai-coding-terminal
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Install dependencies:
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pip install -r requirements.txt
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Configure Gemini API key:
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export GEMINI_API_KEY="your_api_key_here"
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Run Docker setup (optional for isolated environments):
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docker-compose up
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Usage
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Start the AI coding terminal:
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python main.py
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Example commands:
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create project my_app → Creates a new Python project
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add function for user authentication → Adds Python functions based on natural language
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refactor code in utils.py → Refactors existing files with AI assistance
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---
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license: apache-2.0
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title: AI_Code_Terminal
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sdk: gradio
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emoji: 🐨
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colorFrom: blue
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---
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# AI Coding Terminal
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