Codetown
Codetown ::: a software developer's community
Advertise with us!
Simple. If you have a commercial good or service that you'd like to advertise with us, the rate is $95 for 3 months for each ad. This includes jobs, blog posts, events, discussions and anything for which you charge a fee.
Just PayPal the payment to ads@codetown.us and post your ad. You can also mail a check to Cambridge Web Design, PO Box 1741, Winter Park, FL 32790-1741. We accept credit cards, too. Just send Michael Levin a message (mike@codetown.us) with your phone number and we'll chat on the phone.
Please invite some new members, if you please, and feel free to share Codetown's content on other social networks. We have pretty good volume at this point, depending on SEO. It seriously helps when you share and invite people...
If you are looking to post a job description head over to the Groups page. There you will find the Jobs group, where you can post your job as a discussion with a detailed description and salary, rate, or range. We ask you to disclose the compensation as a favor to the developers.
Other places you can advertise include the Events section. We can add a link to your site in the Reading List for the homepage of the Codetown website or one that will show up in the Reading Lists for specific groups.
Codetown content gets marketed, promoted and otherwise passed along by yours truly (in a way I hope is pleasant) to like-minded individuals more or less, depending on the content.
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.
Looking for Jobs or Staff?
Check out the Codetown Jobs group.
InfoQ Reading List
Google Researchers Propose Bayesian Teaching Method for Large Language Models
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 DominguezCloudflare Introduces Support for ASPA, an Emerging Internet Routing Security Standard
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 LosioDoorDash Builds LLM Conversation Simulator to Test Customer Support Chatbots at Scale
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 KumiliNetflix Uncovers Kernel-Level Bottlenecks While Scaling Containers on Modern CPUs
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 RisiPresentation: Beyond the Code: Hiring for Cultural Alignment
Alicia Collymore discusses the critical role of cultural alignment in building high-performing engineering teams. She explains how to move beyond "vibes" by identifying specific attributes in company values and assessing them during coding challenges and system design sessions. She shares practical advice on using interview debriefs, assessment criteria, and "culture add" to drive growth.
By Alicia Collymore
© 2026 Created by Michael Levin.
Powered by
