Best AI Coding Assistants for ChatGPT

RoboCoder simplifies programming by converting specs into code. We integrated GPT-4 Turbo's APIs with VS Code to allow it to edit and open files. A powerful AI can help you create a studio-quality maternity shoot by taking a few self-portraits at home. ChatGPT will work with you to create a plan. Then, tell it to get to work. GPT-4 can open files, navigate through your codebase and suggest a patch by using VS Code’s diff tool.

Genie AI is an extension for Visual Studio Code that integrates OpenAI GPT models including GPT-4 and GPT-3.5. It also integrates Codex. This integration enhances coding by providing features like code generation, error clarification, and code fixing. Users can generate commits from git changes. They can also store conversation history locally and use the extension to fix compile-time problems. Genie AI offers streaming answers that allow users to receive real time responses to prompts in the editor or sidebar conversations. It is also compatible with Azure OpenAI Service deployments and allows the use of customized models. Other functionalities include customizable messages, quick fixes to code issues, as well as the ability export conversation history into Markdown format. The extension is designed for developers to increase productivity by integrating advanced AI into the coding process.

Transform your project idea into clear, structured documentation. AI coding assistants such as Cursor and GitHub Copilot can understand your vision to generate more precise and context-aware codes.

Codex is proficient in more than a dozen programming language and can now interpret simple commands using natural language and execute them for the user. This makes it possible to create a natural language interface for existing applications. Through our API, we are inviting developers and businesses to build on OpenAI Codex. OpenAI Codex is a descendant from GPT-3. Its training data includes both natural language and billions upon billions of lines (including code in public GitHub repositories). OpenAI Codex excels in Python but is also proficient in more than a dozen languages, including JavaScript and Swift, Perl, PHP and Ruby, as well as TypeScript and Shell. It has a memory of 14KB to store Python code, while GPT-3 has only 4KB. This means it can handle more contextual information than GPT-3 and perform any task with 3x the speed.