Codetown ::: a software developer's community
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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.
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Pulumi has announced that Bun is now a fully supported runtime for Pulumi, going beyond its previous role as merely a package manager option. With the new release of Pulumi 3.227.0, developers can set runtime: bun in their Pulumi.yaml and have Bun execute their entire infrastructure program, with no Node.js installation required.
By Claudio Masolo
Effect v4 beta, a TypeScript framework for building applications, features a complete rewrite of its core fiber runtime, offering reduced memory usage and smaller bundle sizes. The new release consolidates ecosystem packages under a single version number and introduces unstable modules for rapid feature development. Migration guides are available for users transitioning from v3 to v4.
By Daniel Curtis
The C++26 standard draft is now complete, reports Herb Sutter, long-time C++ expert and former chair of the ISO C++ standards committee. The finalized draft introduces reflection, enhances memory safety without requiring code rewrites, adds contracts with preconditions and postconditions alongside a new assertion statement, and establishes a unified framework for concurrency and parallelism.
By Sergio De Simone
Meta introduces Just-in-Time (JiT) testing, a dynamic approach that generates tests during code review instead of relying on static test suites. The system improves bug detection by ~4x in AI-assisted development using LLMs, mutation testing, and intent-aware workflows like Dodgy Diff. It reflects a shift toward change-aware, AI-driven software testing in agentic development environments
By Leela Kumili
A new blog from the Cloud Native Computing Foundation highlights a critical gap in how organizations are deploying large language models (LLMs) on Kubernetes: while Kubernetes excels at orchestrating and isolating workloads, it does not inherently understand or control the behavior of AI systems, creating a fundamentally different and more complex threat model.
By Craig Risi
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