How do you deal with legacy code and technical debt in version control?

3 How to choose a version control workflow and model?

A version control workflow is a set of rules and guidelines that define how you use version control for your project. There are many different models to choose from, depending on your project size, complexity, team structure, and preferences. A centralized workflow utilizes a single central repository that contains the master branch of the code, while a feature branch workflow uses the central repository and multiple feature branches for each new feature or fix. The forking workflow employs multiple repositories forked from a main repository with the master branch of the code, allowing more autonomy and diversity. Each of these workflows has their own advantages and drawbacks; a centralized model is simple and easy to use, but requires reliable network connection and good communication among developers, while a forking model allows more autonomy but needs more trust and review. A feature branch workflow allows more flexibility and parallelism, but requires more coordination and discipline.

5 How to test legacy code and ensure quality?

Testing is the process of verifying that your code works as expected and meets the requirements and specifications of your project. This can help you ensure the quality of your code and detect and fix any errors or bugs. Common testing methods include unit testing, integration testing, and regression testing. Unit testing tests each individual unit or component of your code in isolation from other units or components. Integration testing checks how different units or components interact with each other, or with external systems or resources. Regression testing tests your code after making any changes to ensure that the changes do not break or affect existing functionality. All of these methods can help you check the logic, compatibility, reliability, stability, and performance of your code, as well as identify any defects, edge cases, integration issues, failures, side effects, and regressions.

6 Here’s what else to consider

This is a space to share examples, stories, or insights that don’t fit into any of the previous sections. What else would you like to add?