How can errors in a project be detected if the number of pull requests has significantly increased?

When there is a significant increase in the number of pull requests to detect errors in a project, several approaches can be used:

• Automated testing: Set up CI/CD that runs unit tests, integration tests, and UI tests with each pull request.
• Code review: Implement a mandatory code review process so that multiple developers check the changes.
• Static code analysis: Use static analysis tools (e.g., SwiftLint for iOS) that automatically identify potential errors and style violations.
• Test coverage analysis tools: Check how much the changes are covered by tests to identify areas with insufficient testing.
• Use of feature flags: Allows gradually enabling new features and quickly disabling them when errors are found.

Combining these methods helps effectively detect and prevent errors when there are many changes.