When working with AI, there are various tools and libraries available that provide extensions and frameworks to aid in developing AI applications. Here are some commonly used tools with their popular extensions:
OpenAI Codex: OpenAI’s Codex is a language model that was trained on a sizable code repository and can produce code based on descriptions written in natural language. It can help programmers write code by offering tips and autocompletion for a variety of programming languages.
DeepCode: DeepCode analyses code repositories and spots probable defects, security holes, and poor-quality code using machine learning methods. It makes wise recommendations to enhance the caliber of the code and lessen probable faults.
Kite: Kite is a popular coding editor-integrated AI-powered code completion tool. By providing code snippets and automatically finishing repeating code patterns, it aids developers and expedites the coding process.
GitHub Copilot: GitHub Copilot is an AI-powered code creation tool that was created by GitHub in association with OpenAI. Based on the context and required functionality, it helps developers by offering code completions and ideas within their code editors.
Codota is a code completion and documentation tool driven by artificial intelligence. The time needed for code research and implementation is decreased since it analyses current codebases to offer developers intelligent code ideas, examples, and explanations.
By assisting with autocompletion, issue detection, intelligent code creation, and documentation, these AI solutions seek to improve the programming workflow. They make programming for developers more productive and efficient by utilizing machine learning and natural language processing approaches.
Tools of ChatGPT 