Codetown
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- How did you hear about Codetown?
- Search about Grails
- What are your main interests in software development?
- Grails, Groovy and Java
- Do you have a website?
- http://home.people.net.au/~kcs
Happy 10th year, JCertif!
Notes
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.
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
OpenAI Scales Single Primary Postgresql to Millions of Queries per Second for ChatGPT
OpenAI described how it scaled PostgreSQL to support ChatGPT and its API platform, handling millions of queries per second for hundreds of millions of users. By running a single-primary PostgreSQL deployment on Azure with nearly 50 read replicas, optimizing query patterns, and offloading write-heavy workloads to sharded systems, OpenAI maintained low-latency reads while managing write pressure.
By Leela KumiliCreating Impactful Teams through Diversity Using Session 0
Diverse and empowered teams are impactful teams, Natan Žabkar Nordberg mentioned in his talk on creating impactful software teams at QCon London. A session 0 helps set expectations and ensures that everyone is approaching the team in a compatible way.
By Ben LindersWhatsApp Deploys Rust-Based Media Parser to Block Malware on 3 Billion Devices
WhatsApp has rewritten its media handling library in Rust, replacing 160,000 lines of C++ with 90,000 lines of memory-safe code for 3 billion devices. The rollout, part of a system called Kaleidoscope, uses differential fuzzing to ensure bug-for-bug compatibility. The move mirrors a decade-long industry shift toward memory safety, tracing back to Mozilla's first Rust MP4 parser deployment in 2016.
By Steef-Jan WiggersArticle: You’ve Generated Your MVP Using AI. What Does That Mean for Your Software Architecture?
AI‑generated code creates implicit architectural decisions, forcing teams to rely on experimentation to validate quality attributes. To get useful results from AI, teams must clearly express trade‑offs and reasoning so the model can generate solutions aligned with desired QARs.
By Pierre Pureur, Kurt BittnerPresentation: Scaling to 100+ as a Director: Lessons From Growing Engineering Organizations
Thiago Ghisi explains the structural shifts required as an engineering org scales from 30 to 100+ engineers. He shares how to transition from managing performance to building opinionated leadership teams and shaping long-term culture. He discusses his "Three Levels of Impact" framework - Org, Skip-Level, and Company - to help leaders drive strategy and secure high-level promotions.
By Thiago Ghisi
© 2026 Created by Michael Levin.
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Please invite lots of your friends and help build Codetown into a big community. By the way, I like your website.
All the best,
Michael