How to Keep Code Clean in Busy Microservice Teams: Practical Refactoring Tips

Our project has been iterating rapidly, with many teammates working on different features within the same microservice. Because our commit policy requires a review, I often skim the changes and approve them without thorough inspection.

This shortcut caused a disconnect between design and implementation, making it hard to locate code, increasing anxiety about potential production bugs, and ultimately losing control of the service.

To fix this, I now spend time reviewing each feature’s code in depth, record any issues, and discuss them with the author to ensure we share the same business‑logic understanding.

During these reviews I notice wildly varying coding styles: a controller that contains validation, business logic and data access; methods with dozens of parameters many of which are null; and transactions that wrap unrelated code and remote calls.

Such code may work, but it lacks "technical content". Before writing sophisticated, high‑value code, we must first master the ability to keep the codebase clean and understandable.

I follow the "boy‑scout rule" from *Clean Code*: leave the codebase cleaner than you found it, even if that means only renaming a variable, extracting a short function, or removing a tiny duplication.

Continuous, small improvements are the simplest way to let a project evolve positively over time; they are an essential professional habit.

Readability of business code is far more important than elegance or cleverness – never try to show off in core logic.

I regularly share articles on coding style, standards, and refactoring with the team. One recent piece from JD Cloud illustrates a micro‑refactor: a monolithic, tangled class is split into three well‑defined classes, with object assembly isolated and amount calculations moved to an enum.

This restructuring aligns with object‑oriented principles.

The "broken‑window effect" in software means that low‑quality code left unfixed invites more low‑quality solutions, degrading maintainability over time.

Martin Fowler says refactoring steps are simple – move a field, extract a method, push code up or down the inheritance hierarchy – but accumulated small changes dramatically improve design quality.