Codetown ::: a software developer's community
Tags:
The code that I wrote at last night's meeting is posted at http://github.com/ericlavigne/instant-runoff
I have not yet figured out how to post the video online, as it weighs in at 3.5GB.
It's good to see that some others have submitted solutions. Looks like Michael's solution is a bit ahead of mine as it can read votes in from a file. And of course Dan's is way ahead since it has been used for real elections.
wait, really? where can I find Dan's entry?
it is a large project that is not portable. This is why i was not trying to enter it. I could take snippets of code or screenshots and post it for people to look at. time permitting at our next meeting i will demo it.
During your presentation I wasn't fully following your logic as I don't deal with Clojure, Lisp or functional programming much. But now after looking at your code I see pretty much followed your line of attack, when I wrote it I thought I was taking a different approach.
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.

DoorDash has launched a multimodal machine learning system that aligns product images, text, and user queries in a shared embedding space. Trained on 32 million labeled query-product pairs using contrastive learning, the system improves semantic search, product ranking, and advertising relevance. Embeddings also support other machine learning tasks across the marketplace.
By Leela Kumili
Stefan Dirnstorfer discusses the shift from DOM-based testing to visual UI agents. He explains why LLMs often fail at precision tasks - like spotting one-pixel shifts or broken road networks - and shares how advanced image registration and "Chain-of-Thought" vision processing are essential for reliable QA. Learn why combining generative AI with classical algorithms is the future of automation.
By Stefan Dirnstorfer
Celebrating its 23rd year, Devnexus 2026 was held from March 4-6, 2026 at the Georgia World Congress Center in Atlanta, Georgia. The event featured speakers from the Java community who delivered workshops and talks under tracks such as: AI Generative; AI in Practice; Core Java; Java Frameworks; and Security and Developer Tools.
By Michael RedlichAndres Almiray, a serial open-source contributor and the creator of JReleaser, discusses the project's state, noting that the tool is usable across any ecosystem, not just Java. He also touches on the Common House Foundation's mission.
By Andres Almiray
This article introduces practical methods for evaluating AI agents operating in real-world environments. It explains how to combine benchmarks, automated evaluation pipelines, and human review to measure reliability, task success, and multi-step agent behavior. The article also discusses the challenges of evaluating systems that plan, use tools, and operate across multiple interaction turns.
By Amit Kumar Padhy
© 2026 Created by Michael Levin.
Powered by