Codetown ::: a software developer's community
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| Categories | Discussions | Latest Activity |
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TestingThis category is all about testing. TDD, JUnit, etc... |
12 | No activity yet |
AI, ML & Big DataArtificial Intelligence, Machine Learning, Big Data. Let’s chat! |
0 | No activity yet |
Dynamic LanguagesLove Jython. JRuby? It rocks. This category is all about dynamic languages. Especially dynamic languages that run on the JVM. |
8 |
Feb 15, 2016 Reply by Michael Levin |
JavaJava in general. |
36 |
Feb 8, 2019 Reply by sneha gulati |
Functional ProgrammingClojure, Lambda expressions, all the ins and outs of functional programming from languages to use cases. If you've got functional programming on your mind, this is the place to discuss it! |
2 | No activity yet |
TrendsThis category is about what's hot and what's not. |
2 | No activity yet |
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.
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Google has open sourced CEL-expr-python, a Python implementation of the Common Expression Language (CEL), a non-Turing complete embedded policy and expression language designed for simplicity, speed, safety, and portability.
By Sergio De Simone
Form3 runs UK bank payments across three clouds simultaneously. At QCon London, their engineers explained how they built their custom Kubernetes operators, cross-cloud DNS tricks, and distributed databases, and what happened when they tried to sell them in America. Spoiler: US customers wanted East/West failover, not triple-active multi-cloud.
By Steef-Jan Wiggers
At QCon London 2026, Yinka Omole, Lead Software Engineer at Personio, presented a session exploring a recurring dilemma engineers face, whether to spend time mastering the newest technologies and frameworks or to invest in deeper, foundational problems that may appear less exciting but deliver long-term value.
By Daniel Dominguez
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
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