Codetown ::: a software developer's community
What is Groovy and why should I care?
Hello again, it's me, Adam. Earlier this year, I finished my self-published book, Learning Groovy, which is about, well, learning Groovy. It also covers the top Groovy-based tools and frameworks, Gradle, Grails, Spock, and Ratpack.
I've enjoyed using Leanpub as a place to work on my books (What's new in Java 8 and others). It is really easy and developer friendly. It uses a Dropbox folder and you can write your book in Markdown (which I did). I've enjoyed a fairly constant trickle of purchases, but I was frustrated that I never had enough time to devote to the other huge part of self-publishing: marketing. To be really successful with a book, it needs to be marketed really well. You need to put in a lot of time and money. So, when it came to publishing "Learning Groovy," I approached several publishers to do the marketing for me.
Luckily, one of them accepted, and I'm currently in the process of final edits (publisher shall remain anonymous for now).
This means that you can only get the self-published version of "Learning Groovy" for a limited time. Once it goes to the publisher, I have to take down all my versions per the contract.
"What is Groovy and why should I care?" you ask? First of all, what rock have you been living under? Secondly, Groovy is a mature and flexible open-source language that runs on the JVM. Want to learn more about functional programming, want optional dynamic typing, easy restful services, easy reactive web applications (Ratpack)? Maybe you to learn about the most popular build framework and testing frameworks for Java (Gradle and Spock)? Groovy is where it's at.
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.
Created by Michael Levin Dec 18, 2008 at 6:56pm. Last updated by Michael Levin May 4, 2018.
Check out the Codetown Jobs group.

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
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 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
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
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
You need to be a member of Codetown to add comments!
Join Codetown