12 Toxic Coding Habits That Destroy Readability (And How to Avoid Them)

1. Over‑splitting microservices: one table per service

Er Gou embraces microservice architecture to the extreme, creating a separate service for every database table. While this isolates changes, it leads to a tangled system with dozens of services, massive RPC overhead, version‑conflict management, and a cumbersome deployment process for new features.

2. Refactoring without releasing to production

After refactoring, Er Gou adds a feature flag labeled "new logic" but only enables it in the test environment. New team members, unaware of the flag, modify the code assuming the new logic is live, causing failures when the flag remains disabled in production.

3. Writing excessively long methods

Er Gou believes that longer methods are more coherent and showcase skill, so he deliberately creates methods exceeding 1,000 lines, never extracting reusable functions. This makes the codebase hard to understand and slows down newcomers who inherit the code.

4. Deeply nested control structures

He frequently nests if/else/try‑catch blocks ten or more levels deep, claiming the code quality is high. New developers find the nesting incomprehensible, leading to confusion and reduced productivity.

5. Random, meaningless variable names

Er Gou treats naming as an art, using generic names like str1, list2 without reflecting business intent. Although he can recall them temporarily, the meanings fade after a few months, hampering maintenance.

6. Writing misleading comments

He intentionally inserts incorrect comments—flipping truths, swapping unrelated notes—to confuse readers. New developers waste days trying to interpret these comments, receiving little guidance from the author.

7. Updating code without updating comments

When Er Gou refactors code, he never revises the existing comments, leaving them out of sync with the implementation. This discrepancy misleads developers who rely on the documentation.

8. Blindly copying code

Pressed for time, he copies existing code snippets without understanding them. Subsequent developers must track down every duplicated occurrence, often missing hidden dependencies, which leads to bugs and overtime.

9. Ignoring technical design documents

Although Er Gou spends considerable effort drafting detailed technical proposals, he frequently implements simpler, unrelated solutions, causing a gap between design diagrams and actual code that confuses newcomers.

10. Refusing to add logging

Confident in his code, Er Gou never adds log statements. When a production incident occurs, the lack of logs hampers troubleshooting, forcing a rushed addition of logging after the fact.

11. Introducing heavyweight frameworks for trivial problems

He adopts complex rule‑engine frameworks (e.g., Drools, SPEL) to solve simple strategy‑selection logic, inflating the system’s complexity and making it harder for others to modify the code.

12. Reinventing the wheel

Instead of using proven libraries (e.g., Redisson for distributed locks), Er Gou builds custom solutions with low‑level primitives like SETNX, which later cause reliability issues.

Conclusion

The twelve practices above dramatically reduce code readability and maintainability. They serve as cautionary examples of what not to do; developers should avoid mimicking Er Gou’s approach to keep software clean and sustainable.