The hottest Refactoring Substack posts right now

And their main takeaways
Category
Top Technology Topics
Cybersect 39 implied HN points 31 May 23
  1. Technical debt is misused and misunderstood in software engineering, often seen as a moral crusade against bad code.
  2. Refactoring is essential for addressing technical debt, focusing on making code more readable and maintainable.
  3. The concept of technical debt is not about avoiding problems but understanding the ongoing costs of decisions in software development.
Laszlo’s Newsletter 27 implied HN points 04 May 23
  1. When refactoring code, it's important to move code into service classes for better organization and readability.
  2. Utilize constants and parameters closer to their use for easier handling of configurations and serialization/deserialization.
  3. Consider refactoring to address code smells like 'Feature Envy' and 'Primitive Obsession' to improve code maintainability and readability.
Laszlo’s Newsletter 5 implied HN points 08 May 23
  1. The main change in refactoring the Task class is simplifying the code to improve clarity.
  2. Changes in database structures were made to accommodate the new Task class, showing the importance of maintaining consistency.
  3. Goals of implementing Clean Architecture and introducing the Task class were successfully achieved through refactoring, improving code maintainability and expressiveness.
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Reflective Software Engineering 0 implied HN points 12 Jan 24
  1. Having unit tests for SQL queries can help catch bugs introduced during code refactorings or changes.
  2. When writing unit tests for SQL queries, focus on testing the specific parts responsible for building the query rather than the entire method.
  3. Refactoring code for testability can involve moving pure functions outside of the class for easier testing and simplifying methods to focus on specific tasks.
Reflective Software Engineering 0 implied HN points 30 Dec 23
  1. Test-driven development (TDD) is a valuable tool for ensuring software quality and driving great software design.
  2. Testing data integrations and clients, especially in complex data platforms, can be challenging due to less control over underlying databases. Strategies like mocking HTTP interactions can help in testing.
  3. Separating concerns and creating small, testable units of code can enhance confidence in the system, reduce fear of regression, and improve overall software quality.