#typescript #adaptive_ui #animation_library #color_library #component_architecture #component_library #components #design_architecture #design_systems #development_tools #front_end_framework #react #web_accessibility #web_components #web_components_schemas #web_standards

https://github.com/microsoft/fast

#swift #appkit #development_tools #fake #fake_locations #ios_simulator #iphonesimulator #ispoofer #libimobiledevice #location #location_spoof #location_spoofing #macos #mock_location #mock_locations #navigation #simulation #spoof

https://github.com/Schlaubischlump/LocationSimulator

#typescript #ai #ai_assistant #anthropic #chatbot #chatgpt #claude #developer_tools #development_tools #devtools #gemini #generative_ai #gpt #javascript #js #llm #nodejs #openai #typescript

Repomix is a tool that packs your entire code repository into a single file, making it easy for AI tools like ChatGPT and Claude to understand and analyze your code. It formats your code in a way that AI can process efficiently, provides token counts, and is simple to use with just one command. You can customize what to include or exclude, and it respects your `.gitignore` files. Repomix also includes security checks to prevent sensitive information from being included. To use it, simply install Repomix with `npm install -g repomix` and run `repomix` in your project directory. This helps you get comprehensive code reviews, generate documentation, and more, all while ensuring your code is secure and optimized for AI analysis.

https://github.com/yamadashy/repomix

#shell #ai #ai_agent #ai_agents #ai_development #ai_development_tools #claude_code #claude_code_cli #development_tools #development_workflow

Ralph lets Claude Code work on a software project in a loop until the tasks are truly finished, while safely avoiding infinite runs and API overuse. It can import your existing requirement documents, turn them into a structured project with tasks, and then automatically code, test, and track progress with logs and live monitoring. Built‑in session management, rate limiting, circuit breakers, and JSON‑based error handling keep long runs stable. This helps you offload repetitive development work and move faster from ideas and specs to working code.

https://github.com/frankbria/ralph-claude-code