Clean Coder-AI-driven code refactoring tool

Example

When a developer submits a pull request containing overly complex methods with multiple responsibilities, Clean Coder identifies the need to refactor them into smaller, single-purpose methods.

Scenario

During a code review, a developer submits a function that performs both data validation and logging. Clean Coder suggests separating these concerns into distinct functions, each handling a single responsibility, to enhance readability and future maintainability.

Example

If a variable is named ambiguously (e.g., `tempData`), Clean Coder recommends renaming it to something more descriptive, such as `userData` or `configSettings`, based on its role in the code.

Scenario

A project with multiple contributors uses inconsistent naming conventions for variables, leading to confusion about the purpose of certain values. Clean Coder highlights these inconsistencies and suggests meaningful, intention-revealing names.

Example

When a developer uses a mix of null checks and error codes for error handling, Clean Coder advises using exceptions instead, encapsulating try/catch blocks to handle errors more predictably and cleanly.

Scenario

In an e-commerce system, developers manage payment processing with a mix of error codes and manual null checks. Clean Coder detects this pattern and recommends unifying the error-handling strategy with custom exceptions and consistent error messaging.