Course Reflection: "Lessons from Real World .NET Code Reviews"


When I started going through the Pluralsight course "Lessons from Real World .NET Code Reviews" by Shawn Wildermuth, I thought it was a great topic and expected it to offer tangible suggestions that I could use a checklist. I'm a fan of checklists and I like the style & organization of the checklists in the Patterns & Practices book  Improving .NET Application Performance and Scalability  (published in 2004 but never updated). I felt that the two hour course started well but got preachy. I wish it was more comprehensive, focusing on coding issues that impact projects significantly rather than touching upon a few random experiences.

Key points from the course:

- A code review is a systematic way of quantifying code quality

- The job of a code review is to determine what is being done well as well as what can be done better. It is not a witch hunt.

- Look for common problems, not on-off issues

- Review 200-400 lines at a time

- Avoiding "Magic Numbers' can clarify your code and make it harder to make typing mistakes

- Avoid using the + operator to concatenate strings in all cases. Consider using String.Concat() & String.Format(). Use StringBuilder for large amounts of text.

- For unmanaged resources, using IDisposable correctly can prevent resource leaks

- Knowing how enumerations handle defaults makes you understand you always need a zero value

- Breaking up large methods into smaller methods can increase readability and maintainability

- Creating multiple layers of inheritance for it's own sake or identity is adding complexity

- Using nested classes for information hiding isn't necessary and hurts maintainability

- The Singleton pattern is useful, but static classes simplify the way to accomplish this pattern

- The less code inside a Razor file the better

- Building code frequently improves code quality.

- Write unit tests for both client-side & server-side code

Comments

Popular posts from this blog

Maven Crash Course - Learn Power Query, Power Pivot & DAX in 15 Minutes

"Data Prep & Exploratory Data Analysis" course by Maven Analytics

Oracle Cloud Infrastructure 2024 Generative AI Professional Course & Certification Exam (1Z0-1127-24)