How ChatGPT improved my Elixir code. Some hacks are included.
- Oleg Tarasenko
- 1st Jun 2023
- 6 min of reading time
I have been working as an Elixir developer for quite some time and recently came across the ChatGPT model. I want to share some of my experience interacting with it.
During my leisure hours, I am developing an open-source Elixir initiative, Crawly, that facilitates the extraction of structured data from the internet.
Here I want to demonstrate how ChatBot helped me to improve the code. Let me show you some prompts I have made and some outputs I’ve got back.
I like documentation! It’s so nice when the code you’re working with is documented! What I don’t like — is writing it. It’s hard, and it’s even harder to keep it updated.
So let’s consider the following example from our codebase:

My prompt:

Reasonably good for my taste. Here how it looks like after a few clarifications:

Let’s look at other examples of the code I have created! Here is an example of code I am not super proud of. Please don’t throw stones at me; I know I should not create atoms dynamically. Well, you know how it can be- you want to have something, but you don’t have enough time with idea to improve things later and that later never happens. I think every human developer knows that story.


Writing tests is a must-have in the modern world. TDD makes software development better. As a human, I like to have tests. However, I find it challenging to write them. Can we use the machine to do that? Let’s see!


Regarding tests, the response code needs to be more accurate. It might be possible to improve results by feeding chatBot with Elixir test examples, but these tests are good as hints.
I like using JSON schema for validating HTTP requests. The question is — is that possible to convert a given JSON schema into a Swagger description so we don’t have to do double work?
Let’s see. Fortunately, I have a bit of JSON schema-type data in Crawly. Let’s see if we can convert it into Swagger.


Well, it turns out it’s not a full Swagger format; which is a bit of a shame. Can we improve it a bit so it can be used immediately? Yes, let’s prompt engineer it a bit:


Now I can preview the result in the real Swagger editor, and I think I like it:
What can I say? ChatGPT is a perfect assistant that makes development way less boring for regular people.
Platform lock-in risks in regulated systems and how to avoid vendor dependency with scalable architecture.
Meet Viktoria Laufer Project Manager at Erlang Solutions. She shares her work on AI projects, team collaboration, and life outside of work.
Mateusz Starański explains why messaging underpins modern platforms and what happens when it starts to fail.