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Discover Code Quality Rules.
Why you should avoid dynamic variable names in PHP
Dynamic variable names in PHP create hard-to-maintain code and security risks. Learn why variable variables are dangerous and what to use instead.
Why you should use named arguments in Python and PHP
Named arguments make code self-documenting and prevent parameter order mistakes. Learn when and how to use named parameters effectively.
Why you should avoid dynamic variable names in PHP
Dynamic variable names in PHP create hard-to-maintain code and security risks. Learn why variable variables are dangerous and what to use instead.
Why you should use named arguments in Python and PHP
Named arguments make code self-documenting and prevent parameter order mistakes. Learn when and how to use named parameters effectively.
Why you should remove commented-out code from your codebase
Commented out code clutters the codebase and causes confusion. Learn why removing it improves readability, maintainability, and reduces errors.
How to detect and fix contradictory logic in your code
Contradictory logic can cause bugs and unexpected behavior. Learn techniques to identify and resolve conflicting conditions for safer, reliable code.
How to remove lingering TODO and FIXME comments from your codebase
TODO and FIXME comments left in code can cause confusion and hidden issues. Learn best practices to clean and manage temporary notes effectively.
Why keep code lines at a readable length in code
Long lines reduce readability and make code harder to navigate. Learn why keeping line length reasonable improves clarity and maintainability.
How to write comments that explain intent instead of restating code mechanics
Learn why comments should explain intent, not restate code mechanics, and how to write useful, maintainable comments in JavaScript.
How to add explanatory comments to functions for safer and more maintainable code
Missing function comments lead to confusion and hidden risks. Learn how explanatory comments improve safety, readability, and long term maintainability.
Why you should avoid recursion without depth protection
Recursion without depth limits risks stack overflows and potential denial of service. Learn safer recursion strategies.
Why you should use safe patterns when removing items from collections
Incorrect removal from collections can cause runtime errors and data corruption. Learn safe patterns to update lists and iterables without breaking execution.
Why you should check the divisor before performing division operations
Always validate the divisor before performing division. Prevent crashes, unstable behavior, and hidden bugs by ensuring safe numeric operations.
Why you should make a function’s purpose self evident for clearer code
Clear function intent improves readability, reduces bugs, and makes refactoring easier across teams.
Why avoid break in loop iterations: better code patterns
Using break in loops can hide control flow and introduce subtle bugs. Learn safer and more predictable looping patterns.
Why you should use descriptive variable names to write self documenting code
Descriptive variable names make code clear, maintainable, and less error prone. Use meaningful names that reveal intent and reduce confusion.
Why avoid redundant database indexes: optimizing storage and write performance
Redundant indexes slow writes and waste storage. learn how to detect and remove unnecessary database indexes.
How to split large code files: organizing code for maintainability
Large files with multiple responsibilities are hard to maintain and navigate. Learn to split code into focused modules for better organization.
Why you should use early returns and guard clauses for cleaner, more readable code
Deep nesting and late validation make functions hard to read. Learn to use guard clauses and early returns to write clearer, more maintainable code.
Why you should use one class per file: improving code organization and navigation
Using one class per file improves clarity, navigation, and maintainability. avoid cluttered files and keep your codebase organized.
Why you shouldn’t override function arguments: preventing confusion and debugging issues
Overriding function arguments often leads to confusing behavior, hidden bugs, and harder debugging. Learn why overwriting parameters is a bad practice and how to avoid it with clean, predictable code patterns.
How to keep functions concise: writing maintainable code
Long functions are difficult to understand, test, and maintain. Learn to break down complex functions into smaller, focused units for better code quality.
How to avoid breaking public API contracts: maintaining backward compatibility
Breaking changes to public APIs break existing client code. Learn to evolve APIs safely with versioning, deprecation, and additive changes for compatibility.
Why global variables cause data leaks in Node.js servers
Global variables in Node.js persist across requests, leaking user data between sessions. Learn to use request-scoped storage to prevent security issues.
How to prevent race conditions: thread-safe access to shared state
Shared mutable state without synchronization causes race conditions and data corruption. Learn to use locks and thread-safe patterns in Python, Java, and C#.
How to avoid SELECT * in SQL: preventing data leaks
PHP class names must match filenames exactly for PSR-4 autoloading. Mismatches work on Windows/macOS but fail on Linux. Learn to fix autoload errors.
How to fix PHP autoload errors: matching class names to filenames
PHP class names must match filenames exactly for PSR-4 autoloading. Mismatches work on Windows/macOS but fail on Linux. Learn to fix autoload errors.
How to eliminate code duplication: reducing technical debt
Duplicated code blocks cause inconsistent bug fixes and increase maintenance cost. Learn to extract duplicated logic into reusable functions for cleaner code.
Why you should avoid deep nesting levels in code for maintainable development
Deep nesting makes code hard to read and maintain. Learn techniques to simplify nested structures and improve code clarity and maintainability.
Why you should guard against slow regular expressions to prevent ReDoS attacks
Slow or poorly written regex can be exploited for ReDoS attacks. Learn how to write safe regular expressions and protect application performance.
Why you should handle errors in catch blocks instead of leaving them empty
Errors swallowed in empty catch blocks hide failures and cause unstable production. Learn how to handle exceptions properly for safer, reliable code.
Why you should avoid assignments in conditionals to prevent hidden bugs
Assignments inside conditional statements can introduce subtle bugs and reduce readability. Learn safer patterns to keep logic clear and maintainable.
Why you should release locks even on exception paths to prevent deadlocks
Failing to release locks during exceptions can cause deadlocks and halt application execution. Learn proper lock management to ensure safe, reliable concurrency.
Why you should prevent segmentation faults to ensure memory safety in C and C++
Segmentation faults occur from invalid memory access, causing crashes and unstable programs. Learn safe memory practices to prevent faults and improve reliability.
Detect potentially malicious code patterns: identifying hidden threats in your codebase
Obfuscated code in source repositories indicates supply chain attacks or backdoors. Learn to detect suspicious patterns like eval(), encoded strings, and more.Retry
Stop Using MD5 and SHA-1: Modern Hashing for Security
MD5 and SHA-1 are cryptographically broken and vulnerable to collision attacks. Learn why these hashing algorithms are unsafe and what secure alternatives to use.
Remove Debugging and Temporary Code Before Commits: A Security and Performance Guide
Debug code in production exposes sensitive data and degrades performance. Learn why console.log statements are security risks and how to prevent them from shipping.
FreeCodeCamp code quality insights: rules that can improve any codebase
We analyzed FreeCodeCamp’s massive open-source repository to uncover 12 practical code review rules that keep its code clean, maintainable, and beginner-friendly. Learn how these rules can improve your own engineering workflow.
10 Code Quality Rules Learned from Grafana’s Engineering Team
We analyzed Grafana’s open-source repository and uncovered 10 real-world code review rules that improve maintainability, security, and readability. Learn how Grafana keeps its massive codebase clean and scalable with AI-level best practices.
Why you should detect potential injection vulnerabilities in your code
Injection vulnerabilities allow attackers to manipulate input and execute unintended commands. Learn how to identify and prevent injection risks for secure applications.
Nasa’s 10 coding rules for safety-critical code
Discover NASA’s “Power of 10” coding rules for writing safe, predictable, and verifiable software. Learn why these rules exist, see real C code examples, and understand how to apply them in modern development workflows.
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