Codeium Tutorial

Step 1: Install the Extension in Your IDE

I always start in the IDE. Open Visual Studio Code, go to the Extensions marketplace (Ctrl+Shift+X or Cmd+Shift+X). In the search bar, type 'Codeium'. You'll see it—the icon is a blue atom symbol. Click 'Install'. This is the core client. Once installed, a Codeium icon will appear in your sidebar. Click it. A welcome pane will open, prompting you to authenticate. Don't worry about downloading a separate app; the magic happens right here. The extension handles everything locally, which I love for speed and privacy. After installation, you might need to reload your editor, but often it's ready instantly.

Step 2: Authenticate and Configure Basic Settings

Click the Codeium sidebar icon. You'll see a big 'Sign In' or 'Login' button. Click it. It will open your default browser to codeium.com. Sign up with GitHub, GitLab, or your email—it takes 10 seconds. I used GitHub; it's one click. Once authenticated, your browser will confirm success. Return to your IDE. The sidebar should now show you're logged in. Now, click the gear icon (settings) within the Codeium pane. Here's my crucial advice: immediately enable 'Inline Suggestions'. This is the heart of Codeium—it shows greyed-out code completions as you type. Also, under 'Completions', I set the trigger to 'Automatic'. This gives you that magical, Copilot-like experience where suggestions appear without a manual keystroke.

Step 3: Write Your First AI-Assisted Code

Close the settings and open a code file. Start typing a function declaration. For example, in a Python file, type 'def calculate_average(numbers):' and press Enter. As soon as you indent on the next line, watch what happens. Codeium will suggest the entire function body in grey text: something like 'if not numbers: return 0' and 'return sum(numbers) / len(numbers)'. To accept, press the 'Tab' key. This surprised me—the quality is exceptional for such boilerplate. Try a comment. On a new line, type '# Function to read a JSON file and extract the 'name' key'. Press Enter. Codeium will often suggest the full function. This context-awareness is its killer feature. It reads your existing code and variable names.

Step 4: Use the Chat for Debugging and Explanations

The sidebar chat is where Codeium shines beyond basic completion. Highlight a block of code you don't understand or that has a bug. Right-click and select 'Codeium: Explain Selection' or 'Ask Codeium'. A chat window opens with your code pre-loaded. You can ask natural questions: 'Why is this loop throwing an index error?' or 'Refactor this to be more Pythonic.' I use this daily to understand legacy code. What surprised me was its ability to reference your open files. You can ask, 'How do I import the User model from models.py?' and it knows. It's like having a senior dev pair-programming, but one who never gets tired.

Step 5: Master the Keyboard Shortcuts and Workflow

To move fast, you must internalize the shortcuts. The main ones are 'Tab' to accept a suggestion and 'Esc' to dismiss it. To open the chat directly, I use 'Ctrl+Shift+A' (Cmd+Shift+A on Mac). In the chat, 'Ctrl+Enter' sends your message. You can also bring up a quick 'Ask Codeium' box anywhere with 'Alt+A'. My personal workflow: I type a function signature, accept the boilerplate completion, then use chat to ask for edge-case handling. I also frequently use 'Codeium: Generate Docstring' from the right-click menu. It creates beautiful, formatted docstrings from your function code. This saves me 30 minutes of tedious writing per day.

Step 6: Explore Advanced Features and Team Settings

Once you're comfortable, dive deeper. In the Codeium dashboard online (go to codeium.com/profile), you can find snippets you've saved. Yes, you can save code blocks from chat! For teams, the $12/user plan is where shared snippets and enterprise security live, but I've found the free tier shockingly complete. Explore the VS Code command palette (Ctrl+Shift+P) and type 'Codeium' to see all commands, like 'Start a New Chat'. Try the 'Codeium: Open Playground' command to test prompts without project context. I also recommend checking the settings for language-specific enable/disable toggles. If you work with a niche language, turn others off to reduce noise.