The Ultimate Checklist for a Complete Code Review

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The Ultimate Checklist for a Complete Code Review

A code review checklist is essential, as are clear norms and procedures for code reviews. A code review checklist may make your code review process far more valuable to your team and speed up code reviews dramatically. According to studies, code reviewers that utilise checklists of programming outperform those who don't. So, whether you're a rookie developer or an experienced one, consider employing a code review checklist.

Review Your Own Work

Checklists for code reviews aren't only for code reviewers. Instead, as the author of the code update, follow best practises for code review and be your own first reviewer! All these things you can learn by being a part of an advanced full stack developer course.

So, before sending the code out for review, double-check that:

  • Without warnings, the code builds and passes static analysis.
  • All tests are passed by the code (unit, integration, and system tests)
  • You've double-checked for spelling errors and cleaned up after yourself (comments, todos, etc.)
  • You explained what this adjustment entails, including why it was made and what changed.

You can learn all these things in the best way by enrolling in the online courses for software developers.

Implementation of Work

Is it possible to make this solution more straightforward?

  • Is there a chance that this modification may introduce undesired compile-time or run-time dependencies?
  • Was there a framework, API, library, or service that wasn't supposed to be used?
  • Was a framework, API, library, or service that may have improved the solution not used?
  • Is the abstraction level of the code appropriate?
  • Is the code sufficiently modular?
  • Would you have approached the problem in a different way that would have resulted in a code that is significantly more maintainable, readable, performant, and secure?
  • Is there any equivalent feature in the codebase? If that's the case, why isn't this functionality being reused?

Bugs and Logic Errors

  • Is there any scenario in which the code does not operate as expected?
  • Are there any inputs or external events that you can conceive of that may cause the code to break?

Handling Errors and Logging

  • Is error handling carried out properly?
  • Is it necessary to add or remove any logging or debugging information?
  • Are error messages easy to understand?
  • Is there a sufficient number of log events, and are they written in a way that makes debugging simple?

Accessibility and Usability

  • Is the suggested solution well-designed in terms of usability?
  • Is there good documentation for the API?
  • Is the suggested solution's user interface (UI) usable?

Is the API/UI User-Friendly?

Morality and Ethics

  • Is this update using user data in a way that might cause privacy concerns?
  • Is the modification taking advantage of human flaws or behavioral patterns?
  • Is it possible that the code, or what it allows, may cause mental and bodily harm to (some) users?

Testability and Testing

  • Is it possible to test the code?
  • Is there a sufficient number of automated tests (unit, integration, and system tests)?
  • Is it reasonable to assume that the existing tests will cover the code change?
  • Are there any other test cases, inputs, or edge cases that should be tested?

Dependencies

  • Was this done if this modification necessitated changes outside of the code, such as upgrading the documentation, configuration, and readme files?
  • Is it possible that this modification will have an impact on other aspects of the system, such as backward compatibility?

Security and Privacy of Data

  • Does this code expose the software implementation to security flaws?
  • Is authorisation and authentication carried out correctly?
  • Is sensitive data such as user information and payment card information handled and kept safely? Is the proper encryption being used?
  • Is there any information (keys, usernames, etc.) that this code modification reveals?
  • Does the code that works with user input address security issues such cross-site scripting, SQL injection, and input sanitization and validation?
  • Is data collected from third-party APIs or libraries validated?

Conclusion

Perhaps you noticed throughout this exercise that I did not check whether the code adhered to the correct coding style. Isn't that significant? The short answer is that it is critical. The only way to ensure uniformity in a codebase is to have crystal-clear coding style guides. You can learn the basics with a full stack online course and enjoy growing in the right manner.

Consistency also speeds up code reviews, making it easier for programmers to switch projects, and maintains your codebase legible and manageable by the management. Google is an excellent example of how to do this correctly. As a result, Google is able to have one of the quickest code review turnaround times.