About the Book
All software design is composition: the act of breaking complex problems down into smaller problems and composing those solutions. Most developers have a limited understanding of compositional techniques. It's time for that to change.
- Functional programming
- Object composition
- How to work with composite data structures
- Higher order functions
- Functors (e.g., array.map)
- Monads (e.g., promises)
This book began life as a popular blog post series that attracted hundreds of thousands of readers and influenced the way software is built at many high growth tech startups and fortune 500 companies.
- Thank You
Composing Software: An Introduction
- You Compose Software Every Day
The Dao of Immutability (The Way of the Functional Programmer)
The Rise and Fall and Rise of Functional Programming (Composable Software)
- The Rise of Functional Programming
- The Fall of Functional Programming
- The Rise of Functional Programming
- Functional Programming Has Always Been Alive and Well
- What is a Function?
- Pure Functions
- The Trouble with Shared State
- Same Input, Same Output
- No Side Effects
What is Functional Programming?
- Pure Functions
- Function Composition
- Shared State
- Side Effects
- Reusability Through Higher Order Functions
- Containers, Functors, Lists, and Streams
- Declarative vs Imperative
- Expressions and Values
- Comparisons and Ternaries
- Function Composition
- Method Chaining
- Higher Order Functions
Curry and Function Composition
- What is a curried function?
- What is a partial application?
- What’s the Difference?
- What is point-free style?
- Why do we curry?
- Curry and Function Composition, Together
Abstraction & Composition
- Abstraction is simplification.
- Abstraction in Software
- Abstraction through composition
- How to Do More with Less Code
- Reduce is Versatile
Abstract Data Types and the Software Crisis
- Common ADT Examples
- Why ADTs?
- History of ADTs
- Specifications for ADTs
- Stack ADT Example
- Concrete Implementations
Functors & Categories
- Why Functors?
- Functor Laws
- Category Theory
- Build Your Own Functor
- Curried Map
- You’re probably already using monads.
- What Monads are Made of
- Building a Kleisli Composition Function
- The Monad Laws
The Forgotten History of OOP
- The Big Idea
- The Essence of OOP
- What OOP Doesn’t Mean
- What is an object?
- We’ve lost the plot.
- What is Object Composition?
- Three Different Forms of Object Composition
- Notes on Code Examples
- Literals for One, Factories for Many
- Returning Objects
- Computed Property Keys
- Default Parameters
- Type Inference
- Factory Functions for Mixin Composition
- What are mixins?
- What is functional inheritance?
- What is a functional mixin?
- Composing Functional Mixins
- When to Use Functional Mixins
Why Composition is Harder with Classes
- The Delegate Prototype
- Class to Factory is a Breaking Change
Composable Custom Data Types
- You can do this with any data type
- Composable Currency
- Why Lenses?
- Lens Laws
- Composing Lenses
- Why Transducers?
- Background and Etymology
- A Musical Analogy for Transducers
- Transducers compose top-to-bottom.
- Transducer Rules
- The Transducer Protocol
- 1. Make the function the unit of composition. One job for each function.
- 2. Omit needless code.
- 3. Use active voice.
- 4. Avoid a succession of loose statements.
- 5. Keep related code together.
- 6. Put statements and expressions in positive form.
- 7. Use parallel code for parallel concepts.
- Conclusion: Code should be simple, not simplistic.
Mocking is a Code Smell
- TDD should lead to better design.
- What is a code smell?
- What is a mock?
- What is a unit test?
- What is test coverage?
- What is tight coupling?
- What causes tight coupling?
- What does composition have to do with mocking?
- How do we remove coupling?
- “Code smells” are warning signs, not laws. Mocks are not evil.
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