# Avante.nvim — AI-Powered Code Editing in Neovim

> A Neovim plugin that brings AI-assisted code suggestions, inline edits, and chat-driven refactoring directly into the editor using Claude, GPT, or local models.

## Install

Save as a script file and run:

# Avante.nvim — AI-Powered Code Editing in Neovim

## Quick Use
```lua
-- In your lazy.nvim plugin spec:
{
  "yetone/avante.nvim",
  build = "make",
  opts = {
    provider = "claude",
  },
}
-- Then in Neovim: <leader>aa to open the Avante sidebar
```

## Introduction
Avante.nvim is a Neovim plugin that integrates large language models into the editing workflow. It provides a sidebar chat interface, inline code suggestions with diff previews, and the ability to apply AI-generated edits directly to your buffer with a single keystroke.

## What Avante.nvim Does
- Opens a sidebar panel for conversing with an LLM about the current file or selection
- Generates code edits and displays them as inline diffs before applying
- Supports multiple AI providers including Claude, OpenAI, Azure, Gemini, and local models
- Provides context-aware suggestions using the current buffer, selection, and project files
- Integrates with Neovim's built-in LSP for code-aware completions and diagnostics

## Architecture Overview
Avante.nvim is written in Lua with a Rust core module compiled via make for performance-critical parsing. The plugin hooks into Neovim's buffer events and uses tree-sitter for code structure awareness. API calls to LLM providers are made asynchronously, and responses are streamed token-by-token into the sidebar or diff view. Edit suggestions are parsed into hunks and applied through Neovim's buffer API.

## Self-Hosting & Configuration
- Requires Neovim 0.10+ and a C compiler for the native module build step
- Set your API key via environment variable (e.g., ANTHROPIC_API_KEY) or in the config
- Configure the provider and model in the opts table passed to the plugin
- Customize keybindings for sidebar toggle, apply edit, and accept/reject diff
- Optionally point to a local model endpoint (Ollama, LM Studio) for offline use

## Key Features
- Inline diff view lets you review and selectively apply AI-suggested changes
- Multi-file context allows referencing other project files in conversations
- Image paste support for vision-capable models to discuss UI screenshots
- Conversation history persists across sessions per project
- Extensible prompt templates for custom workflows like code review or documentation

## Comparison with Similar Tools
- **Copilot.vim** — GitHub Copilot integration; autocomplete-focused, no sidebar chat
- **Codeium.vim** — free AI autocomplete; faster suggestions but no interactive editing
- **ChatGPT.nvim** — simple chat interface; lacks inline diff and edit application
- **Cody (Neovim)** — Sourcegraph AI with codebase context; different context retrieval model
- **Codecompanion.nvim** — modular AI plugin for Neovim; more configurable but requires more setup

## FAQ
**Q: Which AI provider should I use?**
A: Claude and GPT-4 produce the best results for complex edits. For privacy-sensitive work, configure a local model via Ollama.

**Q: Does Avante send my entire codebase to the API?**
A: No. It sends only the current buffer contents, selected text, and any files you explicitly reference in the conversation.

**Q: Can I use Avante with lazy.nvim?**
A: Yes. Avante is designed for lazy.nvim and includes a build step that compiles the Rust module on install.

**Q: How do I apply only part of a suggested diff?**
A: Use the hunk navigation keys to step through individual changes and accept or reject each one independently.

## Sources
- https://github.com/yetone/avante.nvim
- https://avante.nvim.wiki

---
Source: https://tokrepo.com/en/workflows/asset-4d5a73dc
Author: Script Depot