The Eric Normand Podcast

The speaker reveals a fresh title for their book: Executable Specifications. Discover the journey behind this choice and how it reflects a unique approach to domain modeling. The discussion emphasizes the significance of an iterative methodology, showcasing the evolution of ideas. Tune in to explore how naming can encapsulate the essence of impactful concepts in programming.

I'm organizing my new book in terms of lenses. Each lens focuses our attention on one important aspect of software design. In this episode, I briefly introduce each lens.

I talk about the progress I've made on my book and why I'm throwing it away and starting over.

Explore the fascinating differences in error handling between Clojure and Haskell. Discover why dynamically typed languages like Clojure produce fewer type errors compared to statically typed ones. The discussion reveals how these distinctions can shape programming practices and influence a developer's approach to mistakes. Gain insights into the perception of errors and how it affects coding experiences.

Explore the fascinating 'reify to an interpreter' refactoring technique that transforms functions into data representations. The discussion highlights how this approach can streamline the management of mutation functions. A fun pizza analogy illustrates the concept, making it easier to grasp how state changes can be tracked more effectively. This innovative method promises to enhance your coding practices and understanding of functional programming.

One important skill in domain modeling is learning to see the semantics of your language, past the habits you've developed. To do that, it helps to see the same example in multiple languages. So how do I show examples in multiple languages without expanding the size of my book?

An isomorphism is a one-to-one mapping from two sets, and encoding your domain model involves finding a mapping between the real world and your code. So does domain modeling involve isomorphism?

Learn how to apply domain modeling to existing data structures by writing validation and normalization operations. Explore concepts like handling invalid states and achieving standard forms of data representation. Discover an adapter function that interprets boolean values into string states for improved readability.

We discuss the commutative property, why we use it, and three different possible meanings.

We look at several examples where the associative property gives us expressive power.