
Strengths
- Completely free for personal use, no limit on the number of code completions
- Supports 70+ programming languages
- Compatible with mainstream IDEs such as VS Code, JetBrains, Vim, and Emacs
- Fast code completion and low latency
- Supports enterprise private deployment and data security
Best for
- Daily code completion and auto-completion
- Quick generation of functions and classes
- Code comments are automatically generated
- Smart completion for repeated code patterns
- Unified AI assistance for multilingual projects
Installation and configuration
Codeium supports almost all major IDEs, is easy to install, and can be used within minutes.
Install Codeium in VS Code
Installation steps: 1. Open VS Code and enter the extension market (Ctrl+Shift+X) 2. Search for "Codeium" 3. Click Install 4. After the installation is complete, click the Codeium icon in the sidebar 5. Click "Sign In" to register and log in to your account 6. After successful login, enter the code in the code file. Wait for the gray completion suggestions to appear 7. Press the Tab key to accept the completion
After the installation is complete, when entering in any code file,
Codeium will automatically display gray completion suggestions.
Press Tab to accept, Esc to reject,
Press Alt+] to view the next suggestion.
Only after logging in to your account can you use the full functionality. Free accounts have no usage restrictions.
Install in JetBrains IDE
Installation steps: 1. Open JetBrains IDE (IntelliJ, PyCharm, etc.) 2. Enter Settings → Plugins 3. Search for "Codeium" 4. Install and restart the IDE 5. Log in to the account in Tools → Codeium → Login
All JetBrains series IDEs support Codeium.
Including IntelliJ IDEA, PyCharm, WebStorm, GoLand, etc.
The post-installation code completion experience is consistent with the VS Code version.
JetBrains users can download the corresponding IDE plug-in installation package from the Codeium official website.
Tips for efficient use
Master these techniques to make Codeium's code completion more accurate and efficient.
Guide code generation with comments
Write comments in the code file, and Codeium will generate code based on the comments:
```python
# Function: Calculate the number of working days between two dates
# Parameters: start_date (datetime), end_date (datetime)
# Return: number of working days (int)
# Note: Exclude weekends and do not consider holidays
def count_working_days(start_date, end_date):
# Waiting for Codeium to complete...
```Codeium will generate a complete function implementation based on the comments.
Contains date iteration logic and weekend judgment,
The code is usually of high quality and can be used directly or fine-tuned.
The more detailed the comments, the more accurate the generated code will be. Describing parameter types, return values, and boundary conditions works best.
Code Q&A with Codeium Chat
(Open the Codeium Chat panel in VS Code) "Please explain what this code does and point out possible performance issues: [Select code block]" Or: "Help me refactor this function to make it more readable and add type annotations"
Codeium Chat will:
Explain code logic in natural language
Point out potential performance issues (e.g. O(n²) loops)
Provide refactoring suggestions and improved code
-Supports applying modifications directly in chat
After selecting the code and then opening Chat, Codeium will automatically use the selected code as the context.
Multi-language support display
Codeium supports 70+ programming languages. The following shows the completion effects of several common languages.
Python data processing code completion
```python
import pandas as pd
# Read CSV files and perform data cleaning
df = pd.read_csv('data.csv')
# Remove duplicate rows
df = df.drop_duplicates()
# Fill in missing values (use mean for numeric columns and "unknown" for string
columns)
# Waiting for Codeium to complete...
```Codeium will automatically complete missing value processing logic:
numeric_cols = df.select_dtypes(include=['number']).columns
df[numeric_cols] = df[numeric_cols].fillna(df[numeric_cols].mean())
string_cols = df.select_dtypes(include=['object']).columns
df[string_cols] = df[string_cols].fillna('unknown')
Codeium can understand the existing code in the context, and the completion style is consistent with the existing code.
Compared with similar tools
| Tool | Strength | Best for | Pricing |
|---|---|---|---|
| Codeium This tool | Completely free, supports the most IDEs, and can be deployed privately by enterprises | Individual developers with limited budget, teams who need multi-IDE support | Free for individuals/customized for enterprise version |
| GitHub Copilot | Higher quality code completion, GitHub ecosystem integration | Willing to pay, requires the highest quality code completion | Individual $10/month / Business $19/month |
| Cursor | AI conversational programming experience is stronger | Need AI dialogue-assisted programming, not just code completion | Free version / Pro $20/month |
| Tabnine | Enterprise-grade security, on-premises model options | Enterprises with extremely high data security requirements | Free version/Enterprise version customization |
Sources & references:
- Codeium official website (2025-03)
- Codeium documentation (2025-03)