Codetown ::: a software developer's community
Added by Tim Stevesi on June 18, 2009 at 1:00pm — No Comments
Added by Michael Levin on June 14, 2009 at 5:03pm — 1 Comment

Added by Michael Levin on June 1, 2009 at 7:32pm — No Comments
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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.

Every time-series database makes a set of storage design decisions: how to lay out rows, when to compress, what to partition on. These decisions determine cost and query performance more than the choice of database itself. This article works through those fundamentals from first principles, using widely available tools like PostgreSQL and Apache Parquet to make each trade-off measurable.
By Nirmesh Khandelwal
Two recent Linux kernel vulnerabilities have been disclosed: Copy Fail (CVE-2026-31431) on April 29, 2026, and Dirty Frag (CVE-2026-43284 and CVE-2026-43500) on May 7, 2026. Both allow local users to gain root access, affecting multiple Linux distributions. These vulnerabilities exploit flaws in the page cache via different subsystems, necessitating immediate patching by affected organizations.
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Prof. Dan Ghica, who leads the Programming Languages Lab at Huawei’s Edinburgh Research Centre, recently presented Cangjie (CJ), a new application development language that features algebraic data types and effect handlers. The open-sourced language is positioned as a counterpart to Java, Kotlin, or Swift. Cangjie is taught by 80+ universities in China.
By Bruno Couriol
Coder Agents is a model-agnostic platform designed to let organizations run AI coding agents on their own infrastructure, rather than relying on cloud-based services. This allows teams to maintain full control over code, data, and execution environments.
By Sergio De Simone
Netflix improves Apache Druid performance with interval aware caching, serving 84% of analytics results from cache and reducing query load by 33%. The system decomposes rolling window queries into reusable time segments, enabling partial cache reuse and recomputation only for recent data. At scale, it reduces scan volume, improves P90 latency, and optimizes real time analytics workloads.
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