avante.nvim is a Neovim plugin designed to emulate the behaviour of the Cursor AI IDE. It provides users with AI-driven code suggestions and the ability to apply these recommendations directly to their source files with minimal effort.



vim-ai is described as 'Complete text, generate code and chat with GPT in Vim/Neovim using OpenAI' and is a ai coding assistant in the development category. There are more than 25 alternatives to vim-ai for a variety of platforms, including Mac, Windows, Linux, Visual Studio Code and Web-based apps. The best vim-ai alternative is Void, which is both free and Open Source. Other great apps like vim-ai are Cursor, Claude Code, GitHub Copilot and TabbyML.
avante.nvim is a Neovim plugin designed to emulate the behaviour of the Cursor AI IDE. It provides users with AI-driven code suggestions and the ability to apply these recommendations directly to their source files with minimal effort.



Your best AI pair programmer. Save conversations and continue any time. A Visual Studio Code - ChatGPT Integration. Supports GPT-4, GPT3.5, GPT3 and Codex models. Create new files, view diffs with one click; your copilot to learn code, add tests, find bugs and more.
The copilot-complete function demonstrates that ~100 lines of LISP is all it takes for Emacs to do that thing GitHub Copilot and VSCode are famous for doing except superior w.r.t. both quality and freedom
Kamara helps you build your ideas faster than ever. Using OpenAI's GPT-4, you can describe what features you want and Kamara will build them, one prompt at a time.

Stubs takes your coding tasks, looks up the context within your repo, and produces a diff that you can approve. It's the quickest way to do tasks on an existing repo with AI. It can handle multi-file edits and large files.


GPT-Code-Clippy (GPT-CC) is an open source version of GitHub Copilot, a language model -- based on GPT-3, called GPT-Codex -- that is fine-tuned on publicly available code from GitHub.
VimLM is a Vim plugin that provides an LLM-powered assistant for code editing by allowing users to interact with a local LLM model through Vim commands and automatically ingesting code context.

