Why Code Reviews Fail and How Refactoring Can Rescue Your Project

Recent project iterations have become extremely dense, forcing team members to work on different features within the same microservice. Although our workflow mandates a review step for every commit, I often skim the changes and approve them without a deep look.

This rushed reviewing consumes a lot of time when the workload is light, but during busy periods it becomes impossible to give each change proper attention, leading to a disconnect between design and implementation and causing anxiety about potential production issues.

To regain control, I now dedicate time to thoroughly review the code after a feature is submitted, record any concerns, and discuss them with the author to ensure we share a consistent understanding of the business logic.

During this process I discovered many code‑smell issues: some developers place all logic in a single controller without service or DAO layers, methods with an excessive number of parameters, and transactions that contain unrelated code or remote calls.

These practices raise the question of whether such code truly has "technical content" and whether it can be safely extended. I refer to the "Scout Rule" from the book *Clean Code*: "Leave the campsite cleaner than you found it." Small improvements—renaming variables, splitting long functions, removing duplicate code, or simplifying nested if‑statements—gradually improve the codebase.

Continuous improvement is a core professional habit; even when working in a team, shared standards and incremental refactoring lead to a cleaner, more maintainable project.

Business code readability should be prioritized over elegance or flashy technical tricks; readability is far more important.

Code quality also relates to the "broken‑window effect" in software development: low‑quality code left unfixed invites more low‑quality solutions, degrading the system over time.

Martin Fowler describes refactoring as simple steps—moving fields between classes, extracting functions, or adjusting inheritance—yet these small changes accumulate to dramatically improve design quality.

Below are illustrative images from a micro‑refactoring example that transformed a monolithic controller into three well‑defined classes, separating object assembly and amount calculations into dedicated components.

This class now only assembles objects:

The amount calculation has been moved to an enum class:

These changes embody object‑oriented principles and demonstrate how incremental refactoring can dramatically improve code quality.