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Guides, tutorials, and deep dives into clean code practices
Practical error handling patterns that make code more robust — from custom error hierarchies and Result types to error boundaries and retry strategies.
A practical guide to Python type hints — from basics to advanced patterns like Protocols, TypeGuards, and generics. Learn how static typing improves Python codebases.
Advanced TypeScript techniques for bulletproof type safety — branded types, discriminated unions, template literals, and conditional types with practical examples.
A pragmatic guide to breaking a monolith into microservices — when it makes sense, how to identify service boundaries, and patterns to execute the migration safely.
A practical guide to Hexagonal Architecture (Ports and Adapters), showing how to decouple your business logic from infrastructure with real TypeScript examples.
A comprehensive guide to the five SOLID principles with practical TypeScript examples that show how each principle improves your code.
Flatten your code by replacing deeply nested conditionals with early returns. Guard clauses make the happy path obvious and errors impossible to miss.
Apply Uncle Bob's Clean Architecture to Node.js applications with practical TypeScript examples showing layers, dependencies, and boundaries.
Learn how to use the Factory pattern to create objects without exposing instantiation logic, with practical TypeScript examples.
Master the Extract Method refactoring — the single most impactful technique for improving code readability and reducing complexity.
Not all tests are created equal. Learn to write tests that catch real bugs, serve as documentation, and don't break on every refactor.
Master the three fundamental principles every developer should know: Don't Repeat Yourself, Keep It Simple Stupid, and You Aren't Gonna Need It.
A practical guide to the Observer pattern: implementing event-driven architectures with type-safe event emitters in TypeScript.
Recognize and dismantle God Classes — those massive classes that do everything and know everything — into focused, maintainable components.
Replace complex if/else chains and switch statements with the Strategy pattern for more maintainable and extensible code.
A practical walkthrough of Test-Driven Development building a shopping cart feature, showing the Red-Green-Refactor cycle in action.
Learn to transform complex conditional logic into clean polymorphic designs using TypeScript interfaces and classes.
How the simple practice of making small improvements every time you touch code leads to dramatically better codebases over time.
When a method is more interested in another class's data than its own, you have Feature Envy. Learn to spot it and move behavior where it belongs.
Understanding why composition is often preferred over inheritance, with practical examples showing how to refactor class hierarchies into flexible, composable designs.
Understand the differences between mocks, stubs, fakes, and spies — and when to use each for effective testing.
Isolate your data access logic with the Repository pattern, making your application testable and database-agnostic.
When functions have too many parameters, group them into meaningful objects. A simple refactoring that dramatically improves API design.
Learn to use the Decorator pattern to add responsibilities to objects dynamically, with TypeScript examples for logging, caching, and retry logic.
Understanding the tradeoffs between unit and integration tests, and how to build a testing strategy that catches bugs efficiently.
How the Law of Demeter reduces coupling, makes code more testable, and why train wrecks like a.getB().getC().doThing() are a design smell.
Functions with too many parameters are hard to call, hard to test, and hard to maintain. Learn systematic approaches to taming them.
Stop using primitive types for domain concepts. Learn how Value Objects and branded types catch bugs at compile time.
The Singleton pattern is controversial. Learn when it's genuinely useful, when it's an anti-pattern, and better alternatives.
Walk through a complete refactoring of a messy real-world function, applying clean code principles one step at a time.
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