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Code reviews are crucial means in the software development process to enhance software quality. This article provides a set of comprehensive guidelines and best practices that software engineers can introduce in their organizations. These guidelines are particularly well suited for teams or organizations maintaining end to end ownership of development, testing and CI/CD (Continuous Integration/Continuous Development) pipelines.

Refactoring is the process of changing the current codes of software to make it easier to understand and maintain without modifying its internal functionality.

In many systems, the expiry date of a credit card is often represented by simply using a Date object. This can lead to potential issues and misunderstandings, especially when dealing with operations such as comparisons and calculations. It's generally considered a better practice to represent the expiration date with an adequate object.

Dependency Injection (DI) is a technique that helps manage dependencies between components. Instead of a component directly creating the objects it depends on, those dependencies are provided (“injected”) from the outside. This leads to several key benefits, including improved unit testing and loose coupling.

Managing pop-up dialogs in React apps can be complex and cumbersome, leading to performance issues and bloated code. This comprehensive guide offers a structured solution using hooks, context, lazy loading, and Suspense to streamline dialog management, enhance performance, and maintain clean, scalable code. By centralizing dialog control and leveraging asynchronous loading, developers can improve user experience and simplify development and maintenance workflows in React...

Feature flags, while useful for controlled rollouts and experimentation, can become problematic if not managed properly, leading to dead code and increased complexity. Learn how to mitigate these risks by implementing clear lifecycle management for feature flags and conducting regular code cleanup to maintain a lean and reliable codebase.

Don't mix your train of thought: Improve your Python code's readability and scoping by avoiding entanglements. Learn how to move related code close together, extract methods, and refactor effectively. Address common problems and enhance your Python programming skills for better code structure and maintainability.