How to Install and Configure the Continue Dev Extension for VS Code

Learn how to quickly add the Continue Dev extension to VS Code, configure it for optimal AI‑assisted coding, and see real‑world results.

Why You Need Continue Dev: The Problem with Traditional Code Completion

Context blindness. IntelliSense doesn’t understand the runtime context of your code. If you’re inside a try/catch block handling a specific error, the list still shows generic throw statements instead of a tailored recovery pattern.
Fragmented knowledge. It pulls symbols from the language server, but it can’t combine that with the business conventions baked into your codebase (e.g., naming conventions for repository methods, the shape of a Redux action, or the exact shape of a GraphQL mutation).
Static snippets only. Even the best snippet extensions require you to remember a shortcut and then manually fill in the blanks. There’s no “write the next line for me” that respects the surrounding code.

Enter Continue Dev. It’s an AI‑powered extension that sits on top of the standard language services and adds a conversational layer. Instead of a static drop‑down, you get a dynamic suggestion that can read the whole file, the open tabs, and even the recent commit history. That means you can ask it to “write a unit test for fetchUserProfile that mocks the HTTP client” and it will return a full test file, correctly imported, with realistic mock data.

What is Continue Dev and how it differs from built‑in suggestions

The entire content of the active file (or a configurable window of lines).
Any open related files (e.g., the corresponding test file, a Redux slice, or a GraphQL schema) that you flag in the .continue config.
Project‑wide metadata such as package.json dependencies, TypeScript type definitions, and recent git diffs.

// Traditional IntelliSense (after typing "res.")
res.

The IDE shows a long list: status, json, end, send, … you still have to pick one and remember the signature.

// Prompt: "Add proper error handling to this Express route"
router.get('/users/:id', async (req, res) => {
  try {
    const user = await userService.getUser(req.params.id);
    res.json(user);
  } catch (err) {
    // Continue Dev fills in:
    console.error('Failed to fetch user', err);
    res.status(500).json({ message: 'Internal server error' });
  }
});

The extension not only inserted the catch block but also added a meaningful log message and a proper HTTP status. It understood the surrounding async function, the shape of the userService call, and the conventions we use for error responses.

The feedback loop works differently: With IntelliSense you accept a suggestion and you’re done. With Continue Dev you can immediately ask for a tweak, e.g., “Make the error response include the request ID from the header,” and the model will edit the snippet in place. No copy‑paste, no opening a new file to write a patch.

Key features that solve common developer pain points

Below are the features I rely on most, each illustrated with a short scenario you might recognize from your own projects.

Context‑aware completions

When working on a React component that consumes a GraphQL query, the exact shape of the data object is often needed. By configuring Continue Dev to load the .graphql files in the project, a single prompt like “Show the props type for the UsersList component” yields a TypeScript interface that mirrors the generated types.
```
// Prompt result
interface UsersListProps {
  data: {
    users: Array<{
      id: string;
      name: string;
      email?: string;
    }>;
    loading: boolean;
    error?: ApolloError;
  };
}
```

One‑click test generation

// Prompt
Write a Jest test for the function calculateDiscount that checks the 10% off rule for premium users.

Continue Dev produced a full test file, imported the function, mocked the user data, and added an expect for the discount calculation.

import { calculateDiscount } from '../discount';describe('calculateDiscount', () => {
  it('applies 10% off for premium users', () => {
    const user = { tier: 'premium' };
    const price = 100;
    expect(calculateDiscount(price, user)).toBe(90);
  });
});

Inline refactoring assistance

During a code cleanup I needed to replace every occurrence of axios.get with a wrapper apiClient.fetch. Highlighting the line and asking Continue Dev: “Refactor this call to use apiClient.fetch and preserve the error handling” rewrote the snippet, added the import for apiClient, and kept the try/catch block intact.
```
// Before
try {
  const response = await axios.get('/orders', { params });
  return response.data;
} catch (e) {
  handleError(e);
}
// After (generated)
import { apiClient } from '../utils/apiClient';
try {
  const data = await apiClient.fetch('GET', '/orders', { params });
  return data;
} catch (e) {
  handleError(e);
}
```
Multi‑file scaffolding

When adding a new feature I often need a service class, a controller, and corresponding tests. A single prompt such as “Create a CRUD service for a Product entity” generates all required files with consistent naming, imports, and basic implementations, letting me focus on business logic.