Codetown ::: a software developer's community
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Uber Case Study - Using Node.jsI was looking around for case studies about companies using Node and ran across this one. Uber's architecture involves Node. This discussio… Started by Michael Levin |
0 | Jun 22, 2017 |
Welcome to JavaScript Village!You're going to love it here! Like minded people and a mind boggling assortment of architectures to choose from and learn to master. Someon… Started by Michael Levin |
0 | Feb 18, 2016 |
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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How can you focus in a sea of results from a large regression test suite? This article describes a stochastic approach that relies on some degree of redundancy in your CI regression test set. This approach does not guarantee you will catch every bug every time, but it gives you your best bet of not missing the subtle signatures of all the bugs uncovered by your CI regression test suite runs.
By James Bornefelt WestfallIn this episode, Thomas Betts and Adi Polak talk about the need for context engineering when interacting with LLMs and designing agentic systems. Prompt engineering techniques work with a stateless approach, while context engineering allows AI systems to be stateful.
By Adi Polak
A 600-run benchmark by Ruby committer Yusuke Endoh tested Claude Code across 13 languages, implementing a simplified Git. Ruby, Python, and JavaScript were the fastest and cheapest, at $0.36- $0.39 per run. Statistically typed languages cost 1.4-2.6x more. Adding type checkers to dynamic languages imposed 1.6-3.2x slowdowns. Full dataset available on GitHub.
By Steef-Jan Wiggers
This week's Java roundup for March 30th, 2026, features news highlighting: the GA release of TornadoVM 4.0 and Google ADK for Java 1.0; first release candidates of Grails and Gradle; maintenance releases of Micronaut, Apache Tomcart and Apache Log4j; and an update on Jakarta EE 12.
By Michael Redlich
Anthropic introduces a three-agent harness separating planning, generation, and evaluation to improve long-running autonomous AI workflows for frontend and full-stack development. Industry commentary highlights structured approaches, iterative evaluation, and practical methods to maintain coherence and quality over multi-hour AI coding sessions.
By Leela Kumili
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