Windsurf (Codeium)

Overview

Codeium, internally known as Windsurf, is an AI-driven platform designed to augment developer productivity through various code generation and assistance features. Launched in 2021, Codeium focuses on providing real-time support directly within integrated development environments (IDEs). Its core offerings include AI code completion, which suggests relevant code snippets and full functions as developers type; an AI chat assistant for explaining code, debugging, and generating new code based on natural language prompts; and AI-powered code refactoring tools to improve code quality and maintainability. The platform is primarily aimed at individual developers and small development teams seeking to accelerate their coding processes and minimize repetitive tasks.

Codeium integrates with a range of popular IDEs and editors, including VS Code, JetBrains IDEs, and Vim, through dedicated extensions. This integration allows developers to receive contextual code suggestions and access chat functionalities without leaving their primary development environment. The AI models underpinning Codeium are trained on a large corpus of publicly available code, enabling them to understand diverse programming languages and coding patterns. The service operates by analyzing the code a developer is writing in real-time, providing suggestions that adapt to the project's context and the developer's coding style. This approach is intended to reduce the time spent on boilerplate code, syntax lookup, and common coding challenges, allowing developers to focus on higher-level problem-solving.

For example, when writing a Python function, Codeium might suggest common library imports or function signatures after a few initial characters are typed. In a JavaScript project, it could propose entire JSX components based on surrounding HTML structure or state variables. The AI chat assistant extends this functionality by allowing developers to ask natural language questions about their code, such as "How do I implement a quicksort algorithm in Python?" or "Explain this regular expression." The assistant can then provide explanations, generate new code, or suggest modifications. This dual approach of proactive completion and on-demand assistance positions Codeium as a comprehensive tool for enhancing the developer experience across various stages of the software development lifecycle. The platform offers a free tier for individual use, making its core capabilities accessible to a broad user base, while also providing paid plans for teams and enterprises with additional features and support.

Key features

• AI Code Completion: Provides real-time, context-aware code suggestions ranging from single lines to entire functions, directly within the IDE. This feature supports numerous programming languages and adapts to the project's codebase and developer's patterns (Codeium completion features documentation).
• AI Chat Assistant: An interactive chat interface within the IDE that allows developers to ask questions, generate code snippets, debug issues, explain complex code sections, and refactor existing code using natural language prompts (Codeium chat features guide).
• AI Code Refactoring: Assists in improving code quality by suggesting refactoring opportunities, simplifying complex logic, and enhancing readability. This includes functionalities like renaming variables, extracting methods, and reordering statements.
• Multi-language Support: Compatible with over 70 programming languages, including Python, JavaScript, TypeScript, Java, C++, Go, and Ruby, ensuring broad applicability across different development stacks.
• IDE Integrations: Offers extensions and plugins for popular integrated development environments such as Visual Studio Code, JetBrains IDEs (IntelliJ IDEA, PyCharm, WebStorm), Vim/Neovim, Emacs, and Jupyter Notebooks (Codeium editor integrations list).
• Contextual Understanding: The AI models analyze the entire file, project, and surrounding code to provide highly relevant and accurate suggestions, going beyond simple keyword matching.
• Personalization: Learns from individual coding styles and project specifics over time, tailoring suggestions to improve relevance and accuracy for each user.

Pricing

Codeium offers a tiered pricing model with options for individuals, teams, and enterprises, as of June 2026.

Further details on plan inclusions and enterprise options are available on the Codeium pricing page.

Common integrations

Codeium integrates directly into development environments through official extensions and plugins:

• Visual Studio Code: Provides seamless AI code completion and chat functionality within the VS Code editor (Codeium VS Code integration guide).
• JetBrains IDEs: Supports a range of JetBrains products including IntelliJ IDEA, PyCharm, WebStorm, and others, offering integrated AI assistance (Codeium JetBrains integration instructions).
• Vim/Neovim: Integration for command-line text editors, enabling AI code suggestions for developers who prefer highly customized environments (Codeium Vim integration setup).
• Jupyter Notebook: Offers AI assistance directly within Jupyter Notebooks, beneficial for data scientists and machine learning engineers (Codeium Jupyter Notebook integration).
• Emacs: Provides AI code generation and assistance for users of the Emacs text editor (Codeium Emacs integration details).

Alternatives

• GitHub Copilot: An AI pair programmer developed by GitHub and OpenAI that provides auto-completion suggestions in a wide array of programming languages.
• Tabnine: An AI code completion tool that uses machine learning to predict and suggest the next lines of code, adaptable to individual and team-specific codebases.
• Amazon CodeWhisperer: An AI coding companion from Amazon that generates code suggestions in real-time based on comments and existing code, supporting popular languages and AWS APIs.

Getting started

To begin using Codeium, the typical first step is to install the appropriate extension for your preferred IDE. This example demonstrates installing the Codeium extension for Visual Studio Code and generating a simple Python function.

# Step 1: Install the Codeium extension in VS Code
# Open VS Code, navigate to the Extensions view (Ctrl+Shift+X or Cmd+Shift+X),
# search for "Codeium", and click "Install".

# Step 2: Sign up or log in to Codeium
# After installation, a Codeium icon will appear in the VS Code sidebar.
# Click it and follow the prompts to sign up for a new account or log in with an existing one.
# This typically involves authenticating via a web browser.

# Step 3: Create a new Python file (e.g., example.py)
# Open a new file in VS Code and save it as 'example.py'.

# Step 4: Write a comment to prompt Codeium for a function
# Type the following comment and press Enter. Codeium should then suggest the function definition.

# example.py

# Function to calculate the factorial of a number
def factorial(n):
    if n == 0:
        return 1
    else:
        return n * factorial(n-1)

# Codeium will often complete the function body based on the function signature or comment.
# Accept the suggestion by pressing Tab or Enter.

# Step 5: Test the function
print(f"Factorial of 5 is: {factorial(5)}")
print(f"Factorial of 0 is: {factorial(0)}")

Codeium's chat assistant can also be invoked to explain this function or suggest improvements. For example, by highlighting the factorial function and opening the Codeium chat, one could prompt: "Explain this factorial function." The assistant would then provide a natural language explanation of the recursive logic.