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Supermaven

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AI code completion with a 1M token context window for VS Code and JetBrains - sees your full codebase for highly relevant inline suggestions.

Supermaven is an AI code completion tool built by Jacob Jackson, who previously founded Tabnine. It uses a custom Babble inference engine trained to predict code continuations with a 1M token context window - large enough to hold an entire codebase in context for more relevant completions. Supermaven is designed specifically for speed, targeting sub-250ms p99 latency for suggestions. It supports VS Code, JetBrains IDEs, and Neovim. The company raised a $12M seed round in 2024 and offers a free tier alongside an Individual Pro plan at $10/month.

#code-completion
#ai-coding
#developer-tools
#ide-extension
#code-assistant
Freemium

Free plan available

Update Tool
supermaven.com
Freemium
Pricing Model
Code & Development
Category
2023
Since
Free Plan
Access

Key Features

  • 1M token context window - holds entire codebases in context for accurate multi-file completions
  • Custom Babble inference engine targeting sub-250ms p99 latency for low-friction inline suggestions
  • Multi-line and full-function completion from a single comment or partial signature
  • VS Code, JetBrains (IntelliJ, PyCharm, WebStorm, etc.), and Neovim plugin support
  • Chat mode for asking questions and generating code without leaving the editor
  • Free tier with 2,000 completions per month - no credit card required

Use Cases

  • Developers who find Copilot or Codeium suggestions too slow or too generic for their codebase
  • Polyglot engineers working across large monorepos who need full-repo context in completions
  • Neovim users seeking a capable AI completion plugin with better context than tree-sitter alone
  • Teams evaluating AI code completion tools who want to benchmark speed against GitHub Copilot

Pros

  • 1M token context window sets a new bar for how much codebase context completions can use
  • Sub-250ms p99 target makes suggestions feel native rather than interrupting the typing flow
  • Free tier with 2,000 completions is practical enough for daily evaluation without a commitment

Cons

  • Smaller model and newer training data compared to GitHub Copilot may produce weaker suggestions on uncommon frameworks
  • No support for Vim, Emacs, or Eclipse - coverage is narrower than Codeium or Tabnine
  • Chat mode lags behind Cursor and Copilot Chat for multi-turn code explanation and refactoring

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