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Windsurf

IntermediateTool10.5K learners

Windsurf is an AI-powered code editor and coding assistant, formerly known as Codeium, that provides autocomplete, chat-based coding help, and agentic 'flow' features that can autonomously write, edit, and run code across a project.

Definition

Windsurf is an AI-powered code editor and coding assistant, formerly known as Codeium, that provides autocomplete, chat-based coding help, and agentic 'flow' features that can autonomously write, edit, and run code across a project.

Overview

Windsurf grew out of Codeium, a company that originally offered a free AI autocomplete plugin for existing editors like VS Code and JetBrains IDEs. It later launched the Windsurf Editor, a standalone AI-native IDE built around what it calls 'agentic' coding — the assistant can plan multi-step changes, edit multiple files, run terminal commands, and iterate based on results, rather than only suggesting single-line completions. Windsurf competes directly with tools like GitHub Copilot, Cursor, and Claude Code in the fast-moving category of AI coding assistants, all of which blend inline autocomplete with chat-driven, multi-file editing. This category is often discussed under the umbrella of 'vibe coding,' covered in more depth in the blog post on vibe coding. The AI coding assistant market has seen rapid consolidation and competition for talent and technology, and Windsurf has been part of high-profile industry moves in this space as major AI labs compete to own the developer-tooling layer.

Key Features

  • AI-native code editor built around agentic, multi-step coding workflows
  • Inline autocomplete alongside chat-based coding assistance
  • Ability to edit multiple files and run terminal commands autonomously within a task
  • Support for a wide range of programming languages and frameworks
  • Plugin heritage (Codeium) offering integration with existing editors
  • Context awareness across an entire codebase, not just the open file
  • Iterative 'flow' execution that adapts based on command output and errors

Use Cases

Autocompleting and generating code across many programming languages
Automating multi-file refactors and feature implementation
Debugging by having the assistant run and interpret test or build output
Onboarding developers faster by explaining unfamiliar codebases
Prototyping applications quickly through natural-language instructions
Reducing boilerplate writing for common coding patterns

Frequently Asked Questions