GitHub Copilot in VS Code: how to install, enable, and use it

Need to understand what the query “github copilot vs code” means and how to get started without confusing the products? You can use GitHub Copilot in Visual Studio Code after signing in to your GitHub account and enabling the Copilot feature available to you. In the editor, the assistant suggests code, answers questions in chat, and helps with tests and documentation, but every result requires review.

If a paid model is needed for a task—for example, Claude Opus 5—it is cheaper to access it through the partner service Clodex rather than directly from the vendor. The price difference is shown below.

The essentials

• GitHub Copilot: an AI assistant for development tasks, not a standalone programming environment.
• Visual Studio Code: a code editor in which GitHub Copilot works through built-in capabilities and components from the VS Code extension marketplace.
• Access usually requires a GitHub account, GitHub authentication in the editor, and permission to use Copilot.
• Key use cases include code completion, Copilot Chat, explaining snippets, generating tests, refactoring, and preparing code documentation.
• AI does not replace code testing, linters, dependency checks, security analysis, or code review.
• Available plans, free features, and limits change, so they should be checked in the GitHub account interface.
• When working with a private repository, the project owner or information security department determines the rules for using cloud AI services.

What the query “GitHub Copilot VS Code” means

The wording looks like a comparison, although users are usually looking for a way to connect GitHub Copilot to Visual Studio Code. These products serve different purposes and work together: the editor opens and modifies project files, while the assistant analyzes the context available to it and suggests actions.

GitHub Copilot does not replace Visual Studio Code

Visual Studio Code remains a source code editor, VS Code terminal, file explorer, and environment for running and debugging code. GitHub Copilot adds suggestions and chat to this environment. Developers do not choose “Copilot or VS Code”; they connect Copilot to the editor they already use.

The combination is especially convenient when the task is already located in the project workspace: a source file is open, a method is selected, and the types and neighboring modules are visible. In these conditions, the assistant can more easily suggest a relevant continuation than when given a request without contextual details.

Do not confuse VS Code, Visual Studio, and Microsoft Copilot

Visual Studio Code and Visual Studio are different development products. VS Code is an editor with extensions, while Visual Studio is designed for a different set of scenarios and tools. GitHub Copilot is connected to the GitHub ecosystem and is supported in several development environments.

Microsoft Copilot refers to a set of Microsoft AI services for different products and tasks. Its features are not equivalent to those of GitHub Copilot, so you cannot assume that every Microsoft Copilot can be connected to VS Code or works with a repository in the same way.

What you need before installing GitHub Copilot in VS Code

Start with a basic environment check. Install the latest version of Visual Studio Code, prepare the required GitHub account, and make sure that this account has access to GitHub Copilot. The editor will also need a stable connection to the services involved in authentication and the assistant’s operation.

• Visual Studio Code is installed on the computer.
• The developer knows which GitHub account they use for the work project.
• The account has access to Copilot features.
• Organizational policies allow the installation of VS Code extensions and cloud AI tools.
• The corporate network, proxy server, or security tools do not block the required connections.

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How to install and enable GitHub Copilot in VS Code

The connection process depends on the editor version and the available set of components, but the logic remains the same: sign in to GitHub, check Copilot availability, enable the required feature, and open a code file to test the suggestions.

Sign in to GitHub from Visual Studio Code

1. Open the editor. Launch Visual Studio Code and go to the account section, or use the sign-in command in the editor interface.
2. Choose GitHub sign-in. VS Code may open a browser and request authorization confirmation for the GitHub account being used.
3. Confirm access. Complete the sign-in process in the browser and return to the editor after successful authorization.
4. Check the account. If you use personal and work accounts, make sure that VS Code is connected to the one with Copilot access.

Check the GitHub Copilot components

In some versions of Visual Studio Code, Copilot features are already visible in the interface after sign-in. In other cases, the editor will suggest installing or updating the GitHub Copilot extension through the extension marketplace. Open the VS Code extension search, find the Copilot component, and check its status.

The names of interface items and the location of elements change after VS Code updates. It is more reliable to use the account, extensions, and chat sections and the Command Palette rather than an outdated path from someone else’s screenshot.

Activate Copilot features

Open the Copilot panel or Command Palette and choose an available scenario: suggestions in the editor or Copilot Chat. If the system asks you to sign in again, complete the authorization. Then open a source code file and start writing a function, comment, or data structure.

How to tell whether Copilot is working

A working GitHub Copilot in VS Code appears in several ways: the editor shows suggestions for continuing a line or block, chat accepts code-related requests, and the Command Palette contains Copilot actions. Response quality depends on the open file, selected snippet, project workspace, and the precision of the request.

How to use GitHub Copilot in VS Code

A useful workflow looks like this: the developer formulates a task, provides the minimum sufficient context, receives a draft, checks it locally, and submits it for regular review. Copilot helps reduce routine work, but it does not make architectural or product decisions for the team.

Getting suggestions directly in code

Code completion works better when a function has a clear name, signature, types, and a comment explaining its purpose. The assistant can continue a line, suggest a method body, or create a repetitive template. You can accept, edit, or reject the suggestion.

What happens if you accept a suggestion without checking it? Code that looks plausible but violates a business rule, uses an unsuitable dependency, or fails to account for an edge case will enter the project. Syntactic correctness does not prove that the logic is correct.

Copilot Chat for code-related questions

Copilot Chat helps explain a selected snippet, suggest refactoring options, create a testing plan, analyze an error message, or prepare a documentation draft. For an accurate answer, specify the programming language, task, constraints, technology stack, and desired output format.

Instead of asking “fix the code,” describe the expected behavior: which input data is valid, which errors must be handled, which dependencies are already approved in the project, and what the final function interface should be. This type of request reduces the number of irrelevant options.

Generating tests and checking the result

1. Describe the contract. Select a function or specify its inputs, expected result, and error conditions.
2. Request scenarios. Ask Copilot to suggest positive, negative, and edge-case tests.
3. Check the logic. Make sure the tests reflect actual business rules rather than only the structure of the function.
4. Run the test suite. Testing the code in the project will confirm compatibility with the environment and existing modules.
5. Submit the changes for review. Code review identifies architectural and security issues that AI is not required to detect.

Copilot speeds up the preparation of a test draft, but it does not confirm that the code is correct. For team processes, it is useful to agree in advance on which changes the developer must check manually before creating a pull request.

Working with documentation, SQL, and configurations

GitHub Copilot is used for more than application code. It helps create a README draft, explain a regular expression, prepare a comment for a complex method, analyze an SQL query, or suggest a configuration template.

Those comparing the approaches of different assistants may find our category of materials about AI tools useful. When choosing a service, consider its integration with the editor, how context is transmitted, access rules, and your usual development process.

If you decide to get a paid plan while reading, compare the official price with the partner price before subscribing directly: the difference is usually several times larger, and the calculation is provided at the beginning and end of the article.

GitHub Copilot settings in VS Code

Copilot settings control not “fine-tuning” but the workflow: which suggestions the developer sees, where chat is available, and how quickly the assistant’s use can be stopped. The set of parameters depends on the VS Code version, account type, and organizational policies.

How to disable GitHub Copilot in VS Code

GitHub Copilot can be temporarily turned off at the suggestion level, restricted for a specific language or project if that setting is available, or the Copilot component can be disabled or removed. To stop it completely, you may also need to sign out of your GitHub account in the editor—but this is separate from disabling Copilot and is not required in every scenario.

Not every disabling method is available in every interface version. Open the Copilot settings, extension marketplace, and account section to choose the appropriate level: pause suggestions, disable the extension, or end authorization.

How to reduce irrelevant suggestions

Give the assistant clear context: use readable entity names, add types, document a function’s purpose in comments, and select the relevant section of code before asking a question in chat. Do not turn an AI response into a final specification, especially when the task affects business logic.

Can you use GitHub Copilot in Russian?

You can write in Russian in Copilot Chat. The accuracy of terminology, response structure, and quality of examples depend on the wording, project context, and specific task. Library names, APIs, identifiers, and original error messages are often best left in English.

GitHub Copilot in VS Code for free: what to check

GitHub Copilot is not available for free for all scenarios or every account under the same conditions. The set of features, trial options, limits, and access rules change, so you should not rely on old publications or promises from reviews.

After signing in to GitHub, check which Copilot features are available to your account in the service interface and VS Code. If access is provided by your employer, the organization determines the terms of use: it may allow some features, limit them, or disable them completely.

Does GitHub Copilot work locally or send data to an external service

Visual Studio Code is installed on the user's computer, but that does not mean GitHub Copilot works only locally. Request processing, the use of open-file context, and available features depend on the specific service, account settings, selected plan, and corporate configuration.

The term “GitHub Copilot locally” cannot be used as a synonym for complete code isolation. Before using it in a commercial project, review the privacy settings, terms of service, and the company's internal policies. The decision on whether working with proprietary code is permissible is made by the information system owner or an authorized security team.

Why GitHub Copilot does not work in VS Code

The absence of suggestions does not always indicate a service failure. First, check your GitHub authentication, the account's access to Copilot, the status of the GitHub Copilot extension, and the editor settings. Then rule out network and corporate restrictions.

In a corporate environment, first contact the workplace administrator or information security team. Do not look for ways to bypass the proxy, network restrictions, or access policies: they may be protecting source code and customer data.

GitHub Copilot vs Claude Code: what should a developer choose

A comparison of GitHub Copilot vs Claude Code should be based on the workflow rather than general claims about model quality. One tool is convenient inside the editor, while the other may be better suited to a particular way of launching, interacting with a project, or handling the set of tasks adopted by the team.

The model name should not be the main criterion. The development environment, security requirements, types of tasks, data-transfer rules, and testing discipline determine whether the tool will be useful in a specific project.

GitHub Copilot limitations worth remembering

GitHub Copilot can suggest syntactically correct code with a logical error. The assistant does not know all of the team's conventions and business rules if they are not reflected in the context available to it. It also does not verify the security of dependencies, licenses, or configurations.

Generated commands, libraries, and settings must not be moved to production without verification. Run tests, check changes with linters, review the diff, and submit the result for code review. This process keeps control with the developer rather than the code-generation tool.

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Paid access via API

If the free limits are insufficient, access to models via API can be obtained directly from the vendor or through the Clodex partner service — below is a comparison of official prices and prices through the partner. For example, Claude Opus 5 is 5,9 times cheaper through the partner than at the official price — the full list of models is in the table.