Codetown ::: a software developer's community
Demo is a conference that showcases new ideas. The idea is that people with startup ideas get 6 minutes to pitch their ideas. What's the payoff for them? Investors, of course. What's the payoff for us? There's a website with a live feed and we can watch the action on the web! Surf to www.demo.com today beginning at 9:00AM PST and be a…
Added by Michael Levin on February 28, 2011 at 8:00am — No Comments
The Making of Swampcast ::: A video documenting the history and production of Swampcast, a podcast about "Software development, emerging technology and everything else!"
Contact Mike at http://www.codetown.us/profile/MichaelLevin
Subscribe to Swampcast at www.swampcast.com and on iTunes at… Continue
Added by Michael Levin on February 25, 2011 at 11:00am — No Comments
"The Federal Communications Commission appears poised to pass a controversial set of rules that broadly create two classes of Internet access, one for…
Added by Michael Levin on February 23, 2011 at 4:30pm — 7 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.
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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
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