clean-code

To identify clean-code violations during a code review, analyze method length, naming clarity, parameter counts, comment quality, and dead code. This process detects long methods, magic numbers, and nested logic, recommending guard clauses and extracted private helpers to improve readability.

Refactor long methods in C# worker files by extracting private helpers and promoting guard clauses to reduce nesting. Replace misleading comments and dead code with centralized options and named constants to enforce clean-code standards across files like ArticleAnalysisWorker.cs.

The best way to eliminate dead code and code smells in a repository is to apply explicit clean-code rules that identify and remove misleading code and comments with rationale. This enforces naming clarity and replaces magic numbers with named constants during refactoring.

Yes, you can use these clean-code rules for refactoring the NewsParser codebase specifically. The rules apply directly to target files such as SourceFetcherWorker.cs, guiding automated checks and manual reviews for method length, argument counts, and naming clarity.

You should replace magic numbers with named constants when fixing code smells to improve naming clarity and centralize configuration options. This clean-code practice eliminates ambiguous values, making the codebase easier to read, maintain, and review.