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 |
Know Node?If you're interested in Node.js, this is a great starting point. Ryan Dahl is the author. This is a video of his intro presentation. http:/… Started by Michael Levin |
0 | Feb 18, 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.
Check out the Codetown Jobs group.

To improve image cache management in their Android app, Grab engineers transitioned from a Least Recently Used (LRU) cache to a Time-Aware Least Recently Used (TLRU) cache, enabling them to reclaim storage more effectively without degrading user experience or increasing server costs.
By Sergio De Simone
Google Research has proposed a training method that teaches large language models to approximate Bayesian reasoning by learning from the predictions of an optimal Bayesian system. The approach focuses on improving how models update beliefs as they receive new information during multi-step interactions.
By Daniel Dominguez
Cloudflare recently announced support for ASPA (Autonomous System Provider Authorization). The new cryptographic standard helps make Internet routing safer by verifying the path data takes across networks to reach its destination and preventing traffic from traversing unreliable or untrusted networks.
By Renato Losio
DoorDash engineers built a simulation and evaluation flywheel to test large language model customer support chatbots at scale. The system generates multi-turn synthetic conversations using historical transcripts and backend mocks, evaluates outcomes with an LLM-as-judge framework, and enables rapid iteration on prompts, context, and system design before production deployment.
By Leela Kumili
Engineers at Netflix have uncovered deep performance bottlenecks in container scaling that trace not to Kubernetes or containerd alone, but into the CPU architecture and Linux kernel itself.
By Craig Risi
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