CodeCopilotAI is a locally-running code assistant that utilizes the Llama3 model to provide real-time code completions and assistance. Local execution ensures data privacy and robust performance without requiring an internet connection. The tool is particularly beneficial for developers looking to have interactive assistance right at their fingertips, providing suggestions and answers to code-related questions.

CodeOpt is a Chrome extension for JupyterLab and Jupyter Notebook that seamlessly integrates ChatGPT directly into your coding environment. This tool allows users to quickly send code and outputs to ChatGPT with a single toolbar button click, providing AI-powered assistance for debugging, refactoring, and code optimization. Users can customize AI prompts for both code and error messages. With an automatic integration feature, the ChatGPT button appears in new JupyterLab cells. The extension is privacy-focused, ensuring that only user-chosen code and outputs are sent.

QuickCode AI leverages machine learning algorithms to provide developers with real-time assistance in writing, debugging, and optimizing code across various programming languages. It simplifies the coding process by suggesting code snippets, identifying errors, and providing explanations, making it an essential tool for both novice and experienced developers to enhance productivity and reduce coding time.

Codey is a powerful AI assistant that can perform a wide range of tasks. Trained particularly in coding, it assists users in generating accurate responses, providing images, and sourcing pages related to user queries. It is designed to enhance the productivity of developers and tech enthusiasts.

Django Helper is a Visual Studio Code extension designed to assist Django developers directly in their code editor. By integrating with GitHub Copilot, it allows users to ask questions using the '@django' prefix and get real-time responses. Additionally, it offers GPT-4o-powered responses based on Django documentation, ensuring developers have quick access to the information they need without leaving their editor. This tool enhances productivity and simplifies the learning curve for Django, making it easier to solve issues and implement features efficiently.

Google Colab Copilot is a specialized tool designed to provide AI-powered coding assistance directly within Google Colab. By incorporating this tool, you no longer need to alt-tab between different applications or documentation. Simply integrate the script into your Google Colab environment, and receive AI suggestions and autocompletion as you code, significantly speeding up your development process.

The GPT Code Assistant is an AI-driven Chrome extension designed for developers at all levels. By leveraging the power of ChatGPT, it offers real-time suggestions, code snippets, and explanations, enhancing productivity and reducing coding frustrations. Whether you're writing new code or debugging existing projects, this tool can significantly improve your workflow. It integrates seamlessly into your development environment, providing smart insights without disrupting your coding process.

Leetcoach is a revolutionary tool for coders that combines the power of artificial intelligence with the popular coding platform, LeetCode. This Chrome extension provides a seamless way for users to interact with a ChatGPT model that understands both the coding problems presented and the users' initial solutions. Users can ask questions, receive suggestions, and gain insights into how to improve their coding skills in real-time. It's like having a coding mentor right at your fingertips, providing targeted advice to help you grasp complex concepts and enhance your problem-solving abilities.

Python-Assistant is an AI-driven command-line assistant built in Python that integrates with the OpenAI API to deliver intelligent code support. It enables developers to submit natural language queries, receive contextually relevant code snippets, and execute Python scripts directly within the chat interface. The agent retains memory of previous interactions, allowing follow-up questions and coherent multi-step debugging sessions. Plugin architecture permits custom extensions like linting, testing, and documentation generation. By combining conversational AI with script execution, Python-Assistant empowers developers to prototype rapidly, refactor existing codebases, and learn Python concepts interactively without leaving the terminal environment.