The Mango Jelly

Crow, the language user interface for modern software, is a developer-focused platform that makes it easy to embed a fully functional AI copilot directly into your application with minimal effort. Instead of building a chatbot or copilot from scratch, wiring backend endpoints, designing UI, managing user state, handling context, and enabling tool calls, Crow handles all of that for you. You simply add a small script to your frontend, and Crow does the rest; it connects to your backend endpoints, converts registered APIs (via OpenAPI specs or endpoint URLs) into callable tools, and manages authentication so that AI-driven actions respect your existing user permissions. To give the copilot real context, Crow lets you ingest website content, documentation, or arbitrary files so the AI can answer domain-specific questions accurately. Once configured, the copilot can not only respond conversationally, but also execute actions, for example, reading or writing data.

GitHub Copilot is an AI-powered coding companion that helps developers write, debug, and refactor code faster than ever. Built directly into popular IDEs like VS Code, JetBrains, and Visual Studio, Copilot suggests context-aware code completions and automates repetitive tasks. With Agent Mode, Copilot can plan, write, test, and even submit pull requests—acting like an onboarded team member that understands your repositories. Developers can toggle between advanced models such as GPT-5, Claude Opus 4.1, and Gemini 2.5 Pro to balance speed and depth. Its Copilot Chat and Spaces features bring code, documentation, and project notes together for richer, team-tailored insights. Whether you’re building solo or leading an enterprise project, Copilot enhances productivity and creativity across the entire software lifecycle. The GitHub Copilot coding agent streamlines development by automating repetitive and time-consuming tasks, allowing developers to focus on more complex coding.