My bud Matt Raible blogged about reading a Scala book and I mentioned Stuart Holloway's "Programming Clojure". Matt replied "I like Scala and Groovy and see no compelling reason to learn Clojure. Am I missing something?"

Good question. Eric Lavigne said a few things about Clojure that caught my attention:

"My knowledge of Groovy and Scala are very limited, but here are my impressions relative to Clojure.

Scala seems like a good programming language. Its static typing reduces its flexibility compared to Clojure, but may still be a good deal because it helps with catching errors more quickly. Scala also has been around longer than Clojure, and has used that time to develop more sophisticated libraries than are available for Clojure right now. So why is Clojure still worth learning? Scala gets much of its flexibility from having a lot of features built into the language. Clojure has a small number of language features that are carefully chosen to work well together. The result is a language that is both very flexible and very easy to learn.

One of the design goals of Groovy was to be compatible with Java code, but providing some extra features, just as C++ was designed to be compatible with C. This is a good thing if you have a lot of Java code that you want to migrate, or if you are uncomfortable with learning something new. However, Java is inflexible and overly complicated, and trying to maintain compatibility with Java prevented Groovy from being much better than Java. I quickly lost interest in Groovy so it's possible that I missed something - I would love to hear what advantages Groovy has compared to Scala or Clojure."

There's a Clojure group on the web and this spawned a discussion there entitled "Matt Raible: "Why is Clojure better than Scala or Groovy?"

Let's discuss this!

I am going to take another look at Eric's Clojure code that won the CodeTown Coding Contest #1 on Wari. It's a great way to see how things wrk from a practical perspective. The Compojure web framework is also something I want to see... Stay tuned!

Views: 93

Happy 10th year, JCertif!

Notes

Welcome to Codetown!

Codetown is a social network. It's got blogs, forums, groups, personal pages and more! You might think of Codetown as a funky camper van with lots of compartments for your stuff and a great multimedia system, too! Best of all, Codetown has room for all of your friends.

When you create a profile for yourself you get a personal page automatically. That's where you can be creative and do your own thing. People who want to get to know you will click on your name or picture and…
Continue

Created by Michael Levin Dec 18, 2008 at 6:56pm. Last updated by Michael Levin May 4, 2018.

Looking for Jobs or Staff?

Check out the Codetown Jobs group.

 

Enjoy the site? Support Codetown with your donation.



InfoQ Reading List

Presentation: Building Evals for AI Adoption: From Principles to Practice

Mallika Rao discusses the hidden risk of evaluation debt in production AI systems, drawing on her experience at Twitter, Walmart, and Netflix. She explains why traditional metrics fail modern architectures, breaks down a five-layer evaluation stack spanning infrastructure and UX, and shares a diagnostic maturity model to help engineering leaders eliminate silent semantic failures.

By Mallika Rao

AI-Assisted Migration Tool Helps Teams Move from ingress-nginx to Higress in Minutes

The Cloud Native Computing Foundation has highlighted a new AI-assisted migration approach that enabled engineers to migrate 60 ingress-nginx resources to Higress in roughly 30 minutes, demonstrating how artificial intelligence is increasingly being applied to modernize Kubernetes networking and gateway infrastructure.

By Craig Risi

GitHub Slashes Agent Workflow Token Spend up to 62% with Daily Audits and MCP Pruning

GitHub reports cutting token costs in agentic CI workflows by up to 62% by pruning unused MCP tools, swapping some MCP calls for gh CLI, and running daily “auditor” and “optimizer” agents. A token-usage.jsonl artefact and an Effective Tokens metric help track spend across models and spot regressions.

By Mark Silvester

Presentation: From Founding Engineer to CTO to CEO – At the Same Startup

Trisha Ballakur discusses her journey from a backend software engineer to CTO and CEO, using her startup Pointz as a case study. She explains how to implement bottom-up customer discovery to find product-market fit, effectively delegate to global contractors to reduce build times, customize open-source repos like Valhalla, and apply engineering test-case models to business development.

By Trisha Ballakur

Accountability is the Goal for AI, with EU Regulations Supporting Transparency

AI bias mirrors human bias; both stem from our language and lived experiences. Ethics and AI are inseparable, but AI changes affordances, making harmful actions easier to carry out. The EU regulations apply to AI, since digital products are products. The ultimate goal is accountability: companies must ensure transparency, and laws should favor using the simplest AI that gets the job done.

By Ben Linders

© 2026   Created by Michael Levin.   Powered by

Badges  |  Report an Issue  |  Terms of Service