Codetown ::: a software developer's community
Added by Michael Levin on October 20, 2009 at 11:00am — No Comments
Added by Michael Levin on October 19, 2009 at 8:00pm — No Comments
Added by Michael Levin on October 16, 2009 at 10:30am — No Comments
Added by Michael Levin on October 15, 2009 at 2:12pm — No Comments
Interested in meeting some colleagues in West Africa? SeneJUG is the West African Java User Group. Members come from Senegal, Mali, Mauritania, Guinea, Morocco and many other countries in Africa. France, too! Many of our group already live in Dakar, Senegal's beautiful capital, because of the stellar Polytechnic University of Dakar. Our advisor, Alex…
ContinueAdded by Michael Levin on October 14, 2009 at 12:30pm — No Comments
Added by Michael Levin on October 13, 2009 at 9:48am — No Comments
Added by Michael Levin on October 12, 2009 at 11:30am — No Comments
2025
2023
2022
2021
2020
2019
2018
2017
2016
2015
2014
2013
2012
2011
2010
2009
2008
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.

Sub‑100-ms APIs emerge from disciplined architecture using latency budgets, minimized hops, async fan‑out, layered caching, circuit breakers, and strong observability. But long‑term speed depends on culture, with teams owning p99, monitoring drift, managing thread pools, and treating performance as a shared, continuous responsibility.
By Saranya Vedagiri
Uber engineers detailed how they evolved their storage platform from static rate limiting to a priority-aware load management system. The approach protects Docstore and Schemaless, Uber’s MySQL-based distributed databases, by colocating control with storage, prioritizing critical traffic, and dynamically shedding load under overload conditions.
By Leela Kumili
Continuous learning, adaptability, and strong support networks are the foundations for thriving teams, Matthew Card mentioned. Trust is built through consistent, fair leadership and addressing toxic behaviour, bias, and microaggressions early. By fostering growth, psychological safety, and accountability, people-first leadership drives resilience, collaboration, and performance.
By Ben Linders
Google DeepMind researchers have introduced ATLAS, a set of scaling laws for multilingual language models that formalize how model size, training data volume, and language mixtures interact as the number of supported languages increases.
By Robert Krzaczyński
Moumita Bhattacharya discusses the evolution of Netflix’s ranking systems, from the multi-model architecture to a Unified Contextual Recommender (UniCoRn). She explains how they built a task-agnostic User Foundation Model to capture long-term member preferences. Learn how they solve system challenges like high-throughput inference and the tradeoff between relevance and personalization.
By Moumita Bhattacharya
© 2026 Created by Michael Levin.
Powered by