The hottest Unit Testing Substack posts right now

And their main takeaways
Category
Top Technology Topics

Faking OpenAI - Unit testing in the age of LLMs (Part Two)

Laszlo’s Newsletter • 27 implied HN points • 02 Mar 25
🕹 Technology Machine Learning Software Development Unit Testing Python Artificial Intelligence
  1. Dependency Injection helps organize code better. This makes your testing process simpler and more modular.
  2. Faking and spying in tests allow you to check if your code works without relying on external systems. It gives you more control over your testing!
  3. Using structured testing techniques reduces mental load. It helps you focus on writing clean tests instead of remembering complicated mocking syntax.

Unit Testing for Data Engineers.

Data Engineering Central • 216 implied HN points • 13 Feb 23
🕹 Technology Data Engineering Unit Testing SQL Code Refactoring
  1. Data Engineers often struggle with implementing unit tests due to factors like focus on moving fast and historical lack of emphasis on testing.
  2. Unit testable code in data engineering involves keeping functions small, minimizing side effects, and ensuring reusability.
  3. Implementing unit tests can elevate a data team's performance and lead to better software quality and bug control.

How to Test a Private Method Inside a Widget

Widget Tricks • 58 implied HN points • 08 Mar 23
🕹 Technology Software Testing Software Engineering Code Refactoring Unit Testing
  1. It is recommended not to test private methods, as they are for internal use only.
  2. You may need to test a private method when working with legacy code, fixing bugs, or dealing with widget dependencies.
  3. To test a private method inside a widget, create a forwarder method, use the @visibleForTesting annotation, and follow specific steps based on widget type.

CI / CD for Data Engineering (Python)

The Orchestra Data Leadership Newsletter • 19 implied HN points • 22 Oct 23
🕹 Technology Data Engineering CI/CD Python DevOps Unit Testing
  1. Understanding basic CI / CD for Python code in a Data Engineering context is crucial for Data Engineering Leaders.
  2. For unit tests, use pytest to ensure functions work correctly, and for integration tests, test connections to third-party APIs.
  3. Implementing CI / CD involves writing code, testing and linting locally, and then deploying to a merge environment to ensure code compatibility.
Get a weekly roundup of the best Substack posts, by hacker news affinity:

Advanced async testing: Unstructured concurrency

Jacob’s Tech Tavern • 3 HN points • 01 Aug 23
🕹 Technology Unit Testing Concurrency
  1. Unstructured concurrency introduces a different approach to handling asynchronous code compared to structured concurrency like async/await.
  2. When dealing with unstructured concurrency like Tasks, testing can become challenging and may require using XCTestExpectation to handle closure-based asynchronous operations.
  3. To overcome testing challenges with unstructured concurrency, leverage mocks, the defer keyword, and XCTestExpectation to ensure precise test execution.

Unit Test the Observation Framework

Jacob’s Tech Tavern • 2 HN points • 13 Nov 23
🕹 Technology iOS Unit Testing Swift
  1. Unit testing @Observable view models is crucial for ensuring reliability and stability in iOS development.
  2. The Observation Framework provides a solution for testing @Observable properties using withObservationTracking, improving the unit testing process.
  3. By leveraging the ObservationTestUtils package, developers can streamline unit testing of @Observable view models with less boilerplate code.

Unit Testing with async/await

Jacob’s Tech Tavern • 1 HN point • 18 Jul 23
🕹 Technology Unit Testing Error Handling
  1. Unit Testing with async/await allows for writing robust and maintainable software using modern language features.
  2. Async tests focus on checking interactions with dependencies, successful function calls, and handling error states.
  3. By making code testable through dependency injection, it becomes cleaner and easier to reason about, with encapsulated logic and separated responsibilities.

Using ChatGPT to Accelerate Software Development

David Cornelson's Technology Discussions • 0 implied HN points • 10 May 23
🕹 Technology Software Development Programming AI Unit Testing Learning
  1. ChatGPT v4 is revolutionizing software development by generating legitimate code and assisting with complex coding problems.
  2. ChatGPT can accelerate learning and help programmers gain valuable insights into new concepts.
  3. The integration of ChatGPT in IT processes can lead to accelerated software development, reduction in code, and faster onboarding in complex environments.

Combine, async/await, and Unit Testing

Jacob’s Tech Tavern • 0 implied HN points • 22 Aug 23
🕹 Technology Concurrency Testing Swift Unit Testing
  1. Combine and async/await can be used together to write robust and maintainable software with modern language features.
  2. Testing @ObservableObject view models, Combine publishers in async methods, and Combine publishers converted to AsyncSequence are key in achieving unit test mastery.
  3. Understanding the interoperation between Combine and async/await is a powerful skill for writing unit tests and marrying the two concurrency approaches.

Writing unit tests for SQL queries

Reflective Software Engineering • 0 implied HN points • 12 Jan 24
🕹 Technology SQL Unit Testing Refactoring Bug Fixing Data Engineering
  1. Having unit tests for SQL queries can help catch bugs introduced during code refactorings or changes.
  2. When writing unit tests for SQL queries, focus on testing the specific parts responsible for building the query rather than the entire method.
  3. Refactoring code for testability can involve moving pure functions outside of the class for easier testing and simplifying methods to focus on specific tasks.