Overview of common programming anti-patterns that lead to resource leaks and poor maintainability.

Explains why unbounded in-memory caches are harmful and how to avoid them.

Illustrates how forgotten or duplicate event listeners cause memory leaks and how to prevent it.

Describes resource leak anti-patterns from missing cleanup in exception paths.

How to write unit/integration tests that catch unbounded cache and listener leaks.

Techniques for safely refactoring code to eliminate resource-leak anti-patterns.

Using patterns like Dependency Injection and Builder to manage resources effectively.

Why code reviews for memory health are critical and how to structure them.

A checklist of items to verify during code reviews: nullification, disposal, reference scopes.

Overview of linters and static analyzers (SonarQube, Coverity) that catch memory issues.

Integrating memory regression tests into CI pipelines to detect leaks early.

Best practices for documenting resource lifetimes and ownership in code and design docs.

Implementing structured logging to track allocation/deallocation events for debugging.

Quick reference of anti-patterns, language features, and review guidelines.

Overview of language-specific features that aid in safe resource management.

Demonstrates use of std::unique_ptr, std::shared_ptr, and custom deleters to manage memory in C++.

Shows how to use WeakRef and FinalizationRegistry to avoid memory leaks in JS.

Explains how WeakHashMap automatically removes unused keys to prevent memory retention.

Covers correct implementation of IDisposable and using blocks for deterministic disposal.

Deep dive into language-specific memory features: memory pools, arenas, and pattern matching.

Swift Lessons: Programming Best Practices

Language Features