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Welcome to Codetown!

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.

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Created by Michael Levin Dec 18, 2008 at 6:56pm. Last updated by Michael Levin May 4, 2018.

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InfoQ Reading List

Article: A Better Alternative to Reducing CI Regression Test Suite Sizes

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 Westfall

Podcast: Context Engineering with Adi Polak

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Dynamic Languages Faster and Cheaper in 13-Language Claude Code Benchmark

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

Java News Roundup: TornadoVM 4.0, Google ADK for Java 1.0, Grails, Tomcat, Log4j, Gradle

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 Designs Three-Agent Harness Supports Long-Running Full-Stack AI Development

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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