A deep-dive exploration of React component patterns, composition strategies, state management, and API design.
React Engineering Patterns is a hands-on exploration of patterns commonly used to design scalable, reusable, and maintainable React components.
This repository is not intended to be a collection of isolated snippets.
Instead, each pattern is explored through its evolution, implementation, trade-offs, and practical use cases.
The goal is simple:
Understand the principles behind the pattern, not just how to implement it.
React makes it easy to build components.
But as applications grow, questions become more important than syntax:
- How should components communicate?
- How should state be shared?
- How should a component API be designed?
- When should composition be preferred over configuration?
- When is Context appropriate?
- When does abstraction become unnecessary complexity?
- What are the trade-offs of one pattern compared to another?
- When should a pattern not be used?
This repository explores those questions through small, focused, executable examples.
This project follows several principles.
Understand the underlying problem before introducing a pattern.
There is rarely a universally "best" pattern.
Every abstraction introduces benefits and costs.
A pattern should not appear magically as the final implementation.
We explore how an implementation can evolve:
Problem
↓
Naive Solution
↓
Growing Complexity
↓
Pattern
↓
Refinement
↓
Production Considerations
React's strength is composition.
Patterns should be evaluated with React's core model in mind rather than treated as rules to memorize.
Examples should be small enough to understand completely.
The goal is to isolate the engineering idea, not build a large application around it.
A mature understanding of a pattern includes knowing when it introduces more complexity than value.
- 🚧 Compound Components
- ⬜ Render Props
- ⬜ Higher-Order Components
- ⬜ Controlled Components
- ⬜ Uncontrolled Components
- ⬜ Headless Components
- ⬜ Provider Pattern
- ⬜ State Reducer Pattern
- ⬜ Custom Hooks
- ⬜ Container / Presentational
- ⬜ Feature-oriented Component Architecture
The pattern list is intentionally evolving. New patterns will be added when they provide meaningful engineering insight.
Every pattern follows a consistent structure.
What problem are we trying to solve?
What is the simplest implementation?
What problems appear as requirements grow?
How does the pattern address those problems?
How does the implementation evolve from the naive solution to the pattern?
Implementation A
↓
Requirement changes
↓
Implementation B
↓
New constraint
↓
Pattern
A minimal, focused implementation demonstrating the core idea.
What additional concerns appear in a realistic application?
Examples may include:
- TypeScript
- Accessibility
- State management
- Error handling
- API design
- Testing
- Performance
- Developer experience
Why does the API look the way it does?
What alternatives were considered?
What do we gain?
What do we give up?
Situations where the pattern is a good fit.
Situations where the pattern may introduce unnecessary complexity.
Compare the pattern with other approaches that could solve the same problem.
How should the behavior and contract of the pattern be tested?
Relevant documentation, specifications, articles, and other sources.
The first deep dive in this repository is Compound Components.
Instead of starting with the final abstraction, we explore the problem step by step.
Simple Component
↓
Growing Configuration
↓
Complex Props
↓
Composition
↓
Compound Components
↓
Shared State
↓
Context
↓
Controlled State
↓
Accessible API
↓
Testing & Refinement
A simplified API might eventually look like:
<Tabs defaultValue="overview">
<Tabs.List>
<Tabs.Trigger value="overview">Overview</Tabs.Trigger>
<Tabs.Trigger value="settings">Settings</Tabs.Trigger>
</Tabs.List>
<Tabs.Panel value="overview">Overview content</Tabs.Panel>
<Tabs.Panel value="settings">Settings content</Tabs.Panel>
</Tabs>The goal is not simply to build Tabs.
The goal is to understand:
- why this API is useful
- how the components communicate
- how shared state is managed
- how Context fits into the design
- how controlled and uncontrolled APIs differ
- what trade-offs the abstraction introduces
- when this approach is appropriate
The repository is organized around patterns rather than applications.
react-engineering-patterns/
│
├── patterns/
│ ├── compound-components/
│ ├── render-props/
│ ├── higher-order-components/
│ ├── controlled-components/
│ ├── uncontrolled-components/
│ ├── provider-pattern/
│ ├── state-reducer/
│ ├── custom-hooks/
│ └── headless-components/
│
├── docs/
│ ├── composition.md
│ ├── component-api-design.md
│ ├── state-management.md
│ └── trade-offs.md
│
├── examples/
│
├── package.json
└── README.md
The structure may evolve as the repository grows.
This is not intended to be:
- a React tutorial
- a collection of copy-paste snippets
- a list of "best practices"
- a framework comparison
- a production-ready component library
The implementations are intentionally focused on learning, experimentation, and engineering reasoning.
Each pattern should answer three questions:
Understand the implementation.
Understand the problem it solves.
Understand its trade-offs and boundaries.
Knowing the implementation without understanding the problem is not enough.
This repository aims to build a deeper understanding of:
- React composition
- Component API design
- State ownership
- State sharing
- Context
- Reusability
- Abstraction
- TypeScript API design
- Accessibility
- Testing
- Performance considerations
- Architectural trade-offs
Ultimately, the goal is to develop pattern recognition and architectural intuition, rather than memorizing patterns.
This repository is actively evolving.
Each pattern may progress through several stages:
⬜ Planned
🚧 Exploring
🧪 Experimental
✅ Deep Dive Complete
🔄 Revisiting
A completed pattern does not mean the implementation is considered universally optimal.
It means the pattern has been explored deeply enough to understand its strengths, limitations, and trade-offs.
This repository is primarily a personal engineering playground and learning project.
Ideas, discussions, corrections, and alternative implementations are welcome.
If you find a better approach, the most valuable contribution is not only the code — but the reasoning behind it.
MIT