Codetown ::: a software developer's community
Sensors open up worlds of possibilities. SunSPOT is Java compatible sensor technology. Small Programmable Object Technology = SPOT. Working with SunSPOT or other sensors? Experimenting or thinking about it? Come on in! We want to hear all about it!
Members: 5
Latest Activity: Sep 6, 2011
(photo by Nicholas Zambetti)I just went to the Maker Faire in the Bay Area with my friend Michael Hauser. The expo was filled with Arduino!…Continue
Tags: maker, faire, gainesville, hackerspace, banzi
Started by Michael Levin Jun 14, 2009.
I was talking with my friend Daniel at the McRorie Community Garden in Gainesville yesterday. He said that gardening sensors were all the…Continue
Tags: instructables, arduino, sensors
Started by Michael Levin May 8, 2009.
Please share your projects (or ideas) here.
Tags: sunspot
Started by Michael Levin Mar 18, 2009.
Started by Michael Levin Mar 18, 2009.
"What is a SPOT?It’s a piece of hardware that has an array of sensors, an IO port, a radio for wireless communications, a set of LEDs, some switches, a rechargeable battery and a USB port for…Continue
Started by Michael Levin Mar 18, 2009.
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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.
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