cpp-best-practices/cppbestpractices

Features

• Best Practice Guides - Provides a curated collection of guidelines and technical resources for improving C++ code safety, maintainability, and performance.
• Coding Best Practices - Offers a curated collection of guidelines to improve the safety, maintainability, and performance of C++ codebases.
• Code Formatting and Style - Provides guidance on using tool-based configurations to maintain consistent indentation and whitespace.
• C++ Build Optimization - Provides methods for optimizing compilation cycles and managing dependencies to improve build speeds.
• C++ Memory Management - Implements smart pointers and ownership patterns to prevent memory leaks and ensure type-safe resource handling.
• Automatic Memory Management - Describes using smart pointers and ownership models to automate resource deallocation and prevent memory leaks.
• Portable C++ Subsets - Describes using standards and abstractions to ensure code remains portable across diverse operating systems and hardware architectures.
• Memory Allocation Optimizations - Describes improving execution speed by preferring stack allocation and using smart pointer factories.
• Performance Optimizations - Offers technical advice on minimizing object copying and optimizing memory allocation for increased execution efficiency.
• Coding Standard Recommendations - Explains how to establish collaborative coding recommendations for improved safety and performance.
• Coding Standards - Details the application of language conventions and formatting rules to ensure code readability.
• C++ - Establishes consistent naming, formatting, and structural guidelines to improve the maintainability of C++ codebases.
• Naming Conventions - Provides standardized naming patterns and structural conventions for C++ code elements.
• Code Maintainability Principles - Provides design principles and guidelines to ensure C++ code remains readable and easy to modify.
• Object Copy Minimization - Describes reducing overhead by enabling move operations and avoiding unnecessary temporaries.
• System Performance Optimization - Offers technical advice on reducing resource consumption and increasing general execution speed.
• Code Quality Tools - Recommends standards and refactoring practices to increase software safety and overall code quality.
• Static Code Analysis - Recommends automated scanning of source code to detect bugs, security vulnerabilities, and maintainability issues.
• Quality Assurance Practices - Integrates static analysis, fuzz testing, and sanitizers to detect runtime errors and security vulnerabilities.
• Concurrency & Threading - Describes strategies for managing concurrent execution to avoid race conditions and deadlocks.
• Code Complexity Metrics - Provides methods for measuring structural codebase complexity to identify components that require refactoring.
• Argument Passing Optimizations - Provides technical advice on maximizing processor register use by choosing between passing by value or constant reference.
• Build Performance Optimization - Explains how to minimize build duration by optimizing header includes and reducing template instantiations.
• Build Performance Analyzers - Details how to identify compilation bottlenecks by tracking total build times and preprocessor load.
• Filesystem Operations - Provides guidelines for performing consistent file and directory operations across different operating systems using standardized interfaces.
• Safe Containers - Recommends replacing C-style arrays with contiguous memory containers to ensure bounds safety.
• C++ Tooling Directories - Provides a directory of recommended tools for implementing static analysis, fuzz testing, and binary size profiling.
• Inclusion Guards - Details the implementation of include guards to prevent multiple-inclusion errors in header files.
• Immutable Variables - Explains the use of immutable variables and methods to enable compiler optimizations and prevent side effects.
• Variadic Template Arguments - Recommends using variadic templates instead of C-style variadic functions to prevent undefined behavior and security vulnerabilities.
• Operator Overloading - Explains how to customize operator behavior to create expressive syntax while adhering to precedence patterns.
• Standard Library Threading - Explains running multiple operations simultaneously using standard threading libraries to avoid platform-specific APIs.
• Strong Type Definitions - Recommends using specific strong types instead of generic primitives to prevent logic errors in interfaces.
• Type Conversion and Casting - Guides the use of explicit casting operators to enable stricter compiler checks and increase visibility of conversions.
• Arithmetic Type Standards - Advises on selecting specific integer and character types to ensure overflow prevention across different architectures.
• Coding Standards Enforcement - Details the use of linting tools to automatically check and correct code formatting and naming conventions.
• Compilation Warning Systems - Explains the use of strict compiler warning flags to detect potential bugs and enforce language standards.
• Logic Patterns - Describes applying patterns that clarify developer intent and simplify the debugging process.
• Namespace Collision Prevention - Recommends using explicit namespaces and avoiding reserved prefixes to prevent identifier conflicts.
• Runtime Execution Debugging - Provides guidance on using debuggers to inspect program state and execution flow to isolate defects.
• Runtime Execution Efficiency - Suggests increasing execution speed through pre-increment operators and avoiding expensive internal exception processing.
• Thread-Safe State Patterns - Explains preventing data races by avoiding global data and utilizing mutexes for thread-safe access.
• Exception Strategies - Recommends using exceptions instead of return values to ensure errors are reliably caught and handled.
• Mutation Testing Frameworks - Describes introducing intentional faults into code to verify the effectiveness of a test suite.
• Code Coverage Analysis - Explains how to measure the percentage of code executed during tests to find untested logic.
• Fuzz Testing - Describes using random or malformed data injection to discover crashes and edge-case bugs.
• Integration Testing - Provides guidelines for validating combined feature sets and individual functions to ensure correct system behavior.
• Performance Profilers - Explains how to locate runtime bottlenecks by employing profilers to analyze application performance.
• Runtime Error Detectors - Describes the use of compiler-integrated sanitizers to detect memory corruption and undefined behavior.

Star history