Lines in files

Files

Folders

Repositories

Gists

Constructs detailed test documentation.

Creates unit tests for the selected code.

Integrates with external testing frameworks.

Executes test cases to find issues with the code.

Up to 30 minutes

45 - 60 minutes

60 - 90 minutes

24 hours

Navigate to the Security tab in the organization's GitHub settings

Navigate to the Insights tab in the repository settings

Use the Audit log section in the organization's GitHub settings

Use the Code tab in the GitHub repository

"Show me how to improve the readability of this function."

"Suggest ways to enhance the maintainability of this code segment."

"Refactor my application to meet the latest coding standards."

"Predict future coding trends and update my codebase accordingly."

GitHub Copilot Individual

GitHub Copilot Business

GitHub Copilot Business for non-GHE Customers

GitHub Copilot Enterprise

GitHub Copilot Teams

All repos are indexed

Indexing is static

It is an Enterprise feature

All file types are indexed

By suggesting assertions based on the code's context and semantics.

By automatically writing all the tests for the function.

By writing the implementation code for the function.

By executing the test cases to validate the correctness of the code.

By automatically generating detailed requirements documents.

By providing templates and code snippets that help in documenting requirements.

By identifying and fixing potential requirement conflicts when using /help.

By managing stakeholder communication and meetings.

Suggest homogeneous solutions if provided a diverse data set.

Suggest innovative coding solutions that are not yet popular.

Suggest code snippets that reflect the most common practices in the training data.

Suggest completely novel projects, while reducing time on a project.

Because GitHub Copilot can cover all possible scenarios in your test cases.

Because GitHub Copilot generates the best code possible for the test scenario.

Because GitHub Copilot's generated test cases may not cover all possible scenarios.

Because GitHub Copilot replaces the need for manual testing.

GitHub Copilot can generate all types of unit tests, including those for edge cases and complex integration scenarios.

GitHub Copilot primarily suggests basic unit tests that focus on core functionalities, often requiring additional input from developers for comprehensive coverage.

GitHub Copilot can handle any complexity in code and automatically generate appropriate unit tests.

GitHub Copilot's limitations in generating unit tests can vary based on the IDE version you are using.

It decreases software vulnerabilities from third party dependencies.

It reduces overhead by automating testing workflows.

It increases productivity by automating repetitive coding tasks.

It replaces the need for developers in the software development process.

Create a technical requirement specification from the business requirement documentation

Explain a legacy COBOL code and translate the code to another language like Python.

Creation of a unit test scenario for newly developed Python code

Creation of end-to-end performance testing scenarios for a web application

A complete replacement for developers generating code.

A productivity tool that provides suggestions, but relying on human judgment.

A solution for software development, requiring no additional input or oversight.

A tool solely designed for debugging and error correction.

The Gen AI tool is overloaded with too many requests at once.

The Gen AI tool is experiencing downtime and is not fully recovered.

The Gen AI tool is programmed with a focus on creativity over factual accuracy.

The training data might contain biases or inconsistencies.