clj-kondo VS Quarkus

My best suggestion here would be clj-kondo with flycheck-clj-kondo in Emacs. I really can't recommend it enough and would have killed to have it when I was learning Clojure. Not only will it underline all of those references to (now) undefined vars, but it can tell you about numerous little mistakes like mixing up arguments orders in (say) sequence functions, misplaced docstrings that get discarded, style conventions, etc. It's staggering how good it is even for a language as dynamic as Clojure.

The clj-kondo linters are worth reading.

Sure!

Spec: https://github.com/edn-format/edn

Example (linter config): https://github.com/clj-kondo/clj-kondo/blob/634294183a0aa2ca...

Clj-kondo doesn't produce an AST but you could easily combine the analysis output with the AST produced by rewrite-clj by matching on location.

But if you want full support, you can implement a hook: https://github.com/clj-kondo/clj-kondo/blob/master/doc/hooks.md

Please configure and use tools like clj-kondo and kibit. Kibit will report areas where you could write idiomatic clojure instead. Eg, it should catch all those (if (condition) true false) and ask you to replace it with (condition). Or if you really need a boolean value, use boolean to coerce it.

Try clj-kondo, a Clojure linter which will tell you about arity errors and more, before you even evaluate your code.

Meanwhile, if you're building something smaller than Netflix, I'm writing a book just for that (https://opinionatedlaunch.com/).

It's about mobile apps, but I talk about backend at great length, especially since my background is Java. The book is called "opinionated" because I cover Quarkus (https://quarkus.io/), monolith, Fly.io, and no K8s.

Quarkus is a Java based framework tailored for GraalVM and HotSpot, which results in an amazingly fast boot time while having an incredibly low memory footprint. It offers near instant scale up and high density memory utilization which can be very useful for container orchestration platforms like Kubernetes or Serverless runtimes like AWS Lambda.

Other useful articles related to Quarkus extension development can be found under the Writing Extensions guide category on the Quarkus.io website.

Quarkus is one of Java frameworks for microservices development and cloud-native deployment. It is developed as container-first stack and working with GraalVM and HotSpot virtual machines (VM).

If you GraalVM Native Image or one of the frameworks based on it then bootstrap cost disappears:

https://quarkus.io

We are open to practice using any open-source project, however, we want to set a sharp focus on projects maintained by the Red Hat, and our own projects in the Caravana Cloud organization on github. If there is no reason to do differently, we'll build using technologies such as OpenShift, Quarkus, Ansible and related projects.

The Quarkus you are talking about is this one? https://quarkus.io/