I've been mulling over an idea related to continuous integration and deployment (CI/CD). While CI/CD is effective, I find it can be somewhat sluggish and cumbersome when it comes to running tests. What if tests could operate independently of CI/CD? Imagine if they functioned more like GitOps—constantly active, always monitoring, and self-correcting. I'm not claiming this is a fully fleshed-out idea or anything resembling a product, but it's something that keeps crossing my mind. Many programming languages offer tools like `language test watch`, which handle much of the workload already. With an orchestrator, could there be a reality where tests converge like Kubernetes? I'm curious if anything like this exists in the market or the open-source community.
5 Answers
Many IDEs are designed to run tests continuously as you modify your code, which could lend itself well to what you're proposing. It might be the direction you're looking for!
PyCharm does this for Python unit tests, and I bet there are other IDEs that offer similar functionality for different languages. Just keep in mind that integration tests typically need to be run after a proper build has taken place.
Sounds like what you’re describing is basically monitoring! It's about having that real-time feedback loop for your tests and code changes, right?
You might want to look into RED-GREEN-REFACTOR patterns, which can be incorporated into a pipeline alongside Behavior-Driven Development (BDD). While I don’t believe in pushing for full coverage on every piece of code, having a clear contract about what areas require a specific level of coverage could be beneficial. The key point here is to write tests before you implement the code, not after—it's a game changer!
There’s a platform called Darklang that started out with some of these concepts, but they've evolved a bit. It's worth exploring what they were aiming at!
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