The app provides tools for developing, testing, and distributing applications across Apple platforms. It includes features for code completion, generative intelligence, profiling, debugging, and simulators for rapid prototyping and testing.
Provides a Python 3.10 environment with code completion and a debugger. It includes a terminal, C/C++ compiler, and support for third-party libraries like cryptography and matplotlib. Users can build graphical interfaces and use Shortcuts.
Run and TypeScript code offline using a built-in compiler. Execute code in a WebView with a console for debugging. Edit, compile, and test scripts without internet or server connection. Transpile TypeScript to locally.
The app generates UIColor or NSColor code from hex values or a color picker. Users can import colors from images, Photoshop, or the web into their codebase.
Allows users to write and edit with line wrapping and prettified formatting. It supports hierarchical structure. Users can collapse and expand sections. The enables real-time syntax highlighting and auto-indentation.
Control MCP servers using voice commands. Manage server status, deploy updates, and monitor performance remotely. Execute commands hands-free and receive real-time feedback through the interface.
Write and execute code with instant runtime and smart syntax recognition. Access step-by-step tutorials and sample projects. Format code automatically and learn through built-in resources.
Generate from natural language descriptions in multiple languages. Convert between languages for compatibility. Scan and analyze to identify errors and suggest improvements. Provide real-time coding assistance and syntax highlighting.
Control TV apps by opening, uninstalling, disabling, enabling, and downloading APKs. Manage permissions. Use built-in file manager to transfer files. Take screenshots or record screen activity. Requires USB/network debugging on Android.
Learn and write Python 3.13 code with an integrated environment. Run, debug, and share scripts. Access libraries like OpenCV, NumPy, Pandas, and Matplotlib for data analysis and visualization. Import and manage Python packages from PyPI.