CodeGate is a local prompt gateway designed to enhance the privacy and security of AI-assisted coding environments. By acting as an intermediary between AI coding assistants and large language models (LLMs), CodeGate ensures that sensitive information remains protected and that code suggestions are both secure and up-to-date. Key Features and Functionality: - Secrets and PII Redaction: Automatically detects and redacts sensitive data, such as API keys, passwords, and personally identifiable information (PII), before they are sent to LLMs, preventing unintended exposure. - Dependency Risk Awareness: Identifies and alerts users to outdated or vulnerable package dependencies, offering recommendations for safer alternatives to maintain code integrity. - Model Muxing: Allows seamless switching between different LLM providers and models within the same development environment, enabling users to select the most suitable model for each task without reconfiguration. - Workspaces: Provides isolated environments with customized settings and histories, facilitating organized and efficient management of multiple projects or tasks. - Security Reviews: Performs security-centric code analyses to identify potential vulnerabilities, promoting the adoption of secure coding practices. Primary Value and User Solutions: CodeGate addresses critical concerns in AI-assisted development by safeguarding sensitive information and ensuring the security of code suggestions. It mitigates risks associated with exposing confidential data to third-party AI providers and prevents the incorporation of insecure or outdated dependencies into codebases. By integrating seamlessly with various development environments and AI coding assistants, CodeGate empowers developers to maintain high standards of privacy and security without disrupting their workflow.