FlutterFlow AI Gen

Copilot for CodeMirror is an open-source extension designed to enhance the CodeMirror text editor. The main feature of this tool is its ability to provide autocompletion suggestions, akin to GitHub Copilot, by utilizing OpenAI's Generative Pre-trained Transformer (GPT) models. The tool can assist with coding by suggesting automatic code completions, enabling users to code faster and with less effort. It integrates seamlessly with CodeMirror and offers developers an improved coding experience by providing potential code solutions while they're typing. Please note that while it recommends use with specific models like GPT 3.5 Turbo, it does not mandate it. Developed by Asad Memon, the Copilot for CodeMirror extension is a handy tool for developers seeking to optimize their coding processes in CodeMirror.

Please Don't Code is an efficient and utility-rich tool developed to streamline the process of coding for embedded systems by offering an AI-powered code generator for Arduino. Targeted at users seeking easier coding and time conservation, this tool helps in hastening the process of code generation by leveraging the power of algorithms and machine learning. It is primarily effective for Arduino programmers who wish to simplify their coding tasks. An engaging feature of this tool is its ability to generate code configurations for varied Arduino boards such as Arduino Uno, Arduino Mega, and Arduino Nano, further enhancing its utility. Please Don't Code helps in setting up digital input and output pins for buttons and LED strips, reading and displaying sensor data like temperature, humidity, distance, water volume, and flow rate. It even allows the user to organize and control devices like relays and buzzers according to the sensor values, thereby providing a holistic development environment.

Kel is an AI-based assistant embedded in your Command Line Interface (CLI). It is designed to augment productivity by automating repetitive tasks and enhancing the overall efficiency of your CLI. Kel is equipped with multiple Languages for Learning Machines (LLMs) support including OpenAI, Anthropic, and Ollama, whilst also supporting OpenAI Assistants. It further allows users to engage in unique interactions such as 'chatting' with their artifacts by uploading their files to the assistant. Developers can personalize their assistant using their own API keys for OpenAI or Anthropic, a feature that might soon extend to other LLMs.