Learn how to build Haskell applications.

Why this book?

This is the book I wish I had when learning Haskell. There are a lot of great books out there that teach you the language – but not how to actually build applications with it.

I read many Haskell books. They're great to learn about types, currying, type classes, Functors, Applicatives, Monads… but then what? I felt lost. Many times I just wanted to give up because I couldn't see how I should apply everything that I have learned in a practical way.

It's hard to tell what's considered best practice in the Haskell world. And that makes it difficult to get proficient with the language. That's why this book focuses on Simple Haskell, a subset of the language that I find strikes the right balance between features and ease of use.

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A real-world project

In this book, we'll build a Continuous Integration Server. Why such a project? I wanted something serious enough that could pose some real challenges while developing it. No point implementing yet another blog or todo-list or similar toy applications – you're not going to learn much from those.

A CI Server is interesting for a number of reasons. The domain isn't trivial which means we'll have to put some thought into coming up with the right model. The application will have to work with external systems such as Docker containers and Github webhooks so there's plenty of lessons to learn from there.

Here's a brief list of features that Quad CI (our very own CI server!) will support:

• sandboxed builds in Docker containers
• multi-node architecture with agents picking up jobs to work on
• http api to interact with the frontend and other nodes
• support for triggering builds with github webhooks

We'll get to build all that, from scratch!

Who is this book for?

This book won't teach you Haskell. I assume you have some understanding of the language, can solve basic exercises and know whatIO actions are.

Instead, this book will teach you how to think about problems in a functional language. We won't get things right the first time, there's going to be a lot of refactoring. But that's why Haskell is so good right? Many people praise Haskell for its refactoring capabilities, but very few showprecisely what refactoring Haskell code feels like. That's because you need a real project to experience that – you'll see many examples of it throughout the book.

This book is for people that want to move from theory to practice. There's plenty of material on learning the language but very little has been written on architecting applications and the thought process behind it.

Even if you don't plan on using Haskell in your day job, most of the lessons in this book will apply to other languages as well. Embracing Functional Programming will make you a better programmer, no matter the technology.

Table of Contents

• Introduction
  • Contents
  • Creating the Project
• Part I
  • Exploring the Domain
  • All about the State Machine
  • Talking to Docker
  • Building JSON values
  • Parsing JSON
  • Starting a Container
  • Services and Dependency injection
  • Setting up tests
  • Running builds
  • Getting tests to fail
  • Waiting for containers to exit
  • Intermission: Docker module refactoring
  • Getting the Container status from the Docker api
  • Running real commands
  • Sharing data between steps
  • Testing the shared workspace
  • Collecting logs: another State Machine
  • Testing Log collection
  • Pulling images
  • Parsing pipelines as yaml
• Part II
  • Building the imperative shell
  • Server and Agents
  • Building the Agent
  • Testing Server and Agents
  • Storing Builds in memory with STM
  • Sending updates from Agents back to the Server
  • Triggering builds through webhooks
  • Implementing the webhook endpoint
  • Building the api for the web UI
  • Fetching logs for a step
  • Listing all builds
  • Storing Commit information
  • Adding a CLI
  • Putting it all together
• Appendix
  • Workflow and Tools
  • Default Extensions
  • Record-dot syntax
  • RIO prelude