Void is an open‑source AI‑enhanced code editor built on the VS Code platform that offers context‑aware autocomplete, inline quick edits, and multi‑mode chat directly powered by any large language model. By connecting straight to public APIs or self‑hosted LLMs, it eliminates third‑party backends, giving developers full control over their data and model choice while providing familiar VS Code features and extensibility.
Funding
$500K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.

Founders
Product
Problem
Developers need an AI‑enhanced code editor that integrates advanced language model assistance without sending their code to third‑party services, and they want flexibility to use any LLM, including self‑hosted models.
Solution
Void is an open‑source AI code editor built on the VS Code platform that brings AI‑driven autocomplete, chat, and agent capabilities directly into the development environment. Users can invoke context‑aware completions with a simple Tab press, edit selections inline, and interact with a chat interface that supports normal conversation, gathering information, or full‑featured agent mode. Void connects directly to any large language model—public APIs, private self‑hosted instances, or frontier models—eliminating the need for a proprietary backend and giving users full control over their data. The editor also includes features such as lint error detection, fast apply of suggestions, and support for large files, while allowing extensions like checkpoint tracking for LLM changes.
Target Audience
Void targets software developers and development teams who want AI‑assisted coding while retaining full control over their code and model infrastructure, especially those preferring open‑source tools and self‑hosted LLMs.
Features
- Tab‑triggered autocomplete powered by the connected LLM
- Inline Quick Edit for rapid modifications of selected code
- Multi‑mode chat (standard, gather, and agent) with terminal and file system access
- Direct integration with any LLM (e.g., DeepSeek, Llama, Gemini, Qwen) without routing through a private backend
- Support for private/self‑hosted models to avoid API credit limits
- Lint error detection and fast apply of AI suggestions
- Handles files up to 1000 lines and provides checkpoints for LLM changes
- Built on the VS Code ecosystem for familiar UI and extensibility