EchoComet is a macOS application designed to seamlessly integrate local codebases with advanced web-based AI platforms. It enables developers to provide extensive code context—spanning entire files or folders—directly into AI models that support millions of tokens, overcoming the limitations of typical IDE-based AI code editors. This functionality is particularly beneficial for addressing complex coding challenges that require a comprehensive understanding of large codebases. Key Features: - Effortless Code Integration: Quickly gather entire files or folders from your local codebase for AI analysis, eliminating the need for manual copy-pasting. - Enhanced AI Prompts: Improve AI responses by adding additional context using your own API key, leading to more relevant and accurate outputs. - Seamless AI Platform Integration: With a single click, copy code to popular web-based large language models (LLMs) such as ChatGPT, Claude, Gemini, and Grok. - Privacy-Focused Design: All processing occurs locally on your machine, ensuring that your code remains secure and private. - Comprehensive Code Analytics: Access token-count statistics, including lines, characters, and estimated AI token usage, to better manage and optimize prompts. Primary Value and Problem Solved: EchoComet addresses the challenge developers face when using IDE-based AI code editors that struggle with complex problems due to limited context windows. By enabling direct integration with leading web-based LLMs, it enhances problem-solving capabilities for debugging, architecture reviews, and other intricate coding tasks. This tool is particularly valuable for software engineers, data scientists, and DevOps professionals working on large-scale or intricate projects requiring AI-assisted code analysis.