How can you ensure software is both testable and maintainable while maintaining speed?

Using linter We use golangci-lint as a pre-commit hook, a CI/CD step, and an IDE integration. This way, we can catch and fix issues before they become problems. We also use a YAML-based configuration file to customize the linters and settings we want to use for each project. Using golangci-lint has helped us to write cleaner, safer, and more maintainable code. It has also saved us time and effort in code reviews and debugging. Thanks for reading and happy coding! ??

For maintainability, following the coding standard that is being used in the project is a must. Along with that automating the lint process, and uniform IDE setup to reduce the conflict should be practiced. For the test purpose, unit testing should be standardized in the project. Developers should write the unit tests, and test their code locally and dev environment before it is pushed to the QA. For quick feedback or getting to know all the acceptance criteria collaborate with the QAs to get the test case which helps to complete the testing in the dev phase itself reducing the feedback time.

Ensuring software is both testable and maintainable while maintaining speed requires a comprehensive approach that integrates key practices throughout the development lifecycle. A modular design strategy, breaking down the software into manageable components, enables focused testing and facilitates future maintenance. Automated unit tests play a crucial role in validating individual components swiftly, providing quick feedback to developers. Continuous Integration (CI) further automates the testing process, ensuring that code changes are regularly validated, contributing to a reliable and stable codebase. Code reviews and comprehensive documentation help maintain high coding standards and facilitate knowledge transfer within the team.

In my experience the most important thing in a complex software ( which eventually it becomes overtime ) if its a successful. each and every method, class , file , lib , module , micro service , service , system should have clear responsibilities and limited responsibility , things are same in software too assume it as running a big democracy ( thousands and thousands units ( mens) working with same capacity each on their crisp responsibility and a huge system ( country works ) , one goes into some other or taking too much , fails the whole stuff. ( in case demand comes for a system new enhancements, redesign and divide again , divide and conquers works nicely in software too. This make make development and test cycles concise & faster.

Test Driven Development works wonders here. Write tests before writing the code, and you end up with software that by design is easy to test. The key to "what tests to write" is a stumbling block to some, but to that, there's a very powerful advice: Test what you actually want the software to do. You won't end up with tests that have insanely complicated setup, because, presumably, in the ideal world where you just think "what's the software I want to use", the software would be easy to get into a condition where it can provide its value. And that happy path ideal workflow is now a test you can run.

I write tests for my code using unit, integration methods, and of course test suite. I also use mocks to simulate dependencies like APIs and database queries. This helps me ensure code quality and functionality, and save time and effort. One of the benefits of using test suite is that it helps me to organize and prioritize my test cases based on different scenarios and features. By grouping test cases into test suites, I can identify and execute the most critical tests first, ensuring that the most important aspects of the software are tested thoroughly.

First step: model the data and structure your code accordingly. In addition to organizing your code well, it will substantially reduce the need for refactoring.

In my experience the most important thing in a complex software ( which eventually it becomes overtime ) if its a successful. each and every method, class , file , lib , module , micro service , service , system should have clear responsibilities and limited responsibility , things are same in software too assume it as running a big democracy ( thousands and thousands units ( mens) working with same capacity each on their crisp responsibility and a huge system ( country works ) , one goes into some other or taking too much , fails the whole stuff. ( in case demand comes for a system new enhancements, redesign and divide again , divide and conquers works nicely in software too. This make make development and test cycles concise & faster.

I think people always forget about refactor, even a small one, in the piece you are working on, on the long run will take a huge difference. Usually people are not very keen to refactor.

One of the most important things for increasing testability is to keep your unit tests fully isolated. By isolating your tests, you will be able to run your tests consistently regardless of platform and environment.