Codetown ::: a software developer's community
Time: March 24, 2011 from 6pm to 9pm
Event Type: meeting
Organized By: Michael Levin
Latest Activity: Mar 24, 2011
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.
Diff Authoring Time (DAT). DAT is a new metric developed by engineers at Meta to measure the duration required for developers to submit changes, known as "diffs," to the codebase. By tracking the time from the initiation of a code change to its submission, DAT offers insights into the efficiency of the development process and helps identify areas for improvement.
By Craig RisiAnil Rajput and Rema Hariharan discuss the crucial role of CPU architecture in optimizing Large Language Model (LLM), specifically Llama, performance. They explain hardware-software synchronization for TCO reduction and latency improvements. Learn about core utilization, cache impact, memory bandwidth considerations, and the benefits of chiplet architecture for LLM deployments on CPUs.
By Anil Rajput, Rema HariharanIn this article, authors discuss how multi-model retrieval augmented generation (RAG) techniques can enhance AI by integrating multiple modalities like text, images, and audio for deeper contextual understanding, with help of a practical example of a healthcare application.
By Suruchi Shah, Suraj DharmapuramIn this episode, Thomas Betts speaks with Vlad Khononov about balancing coupling in software design, the subject of his recent book. They discuss how coupling is necessary for a system to function, but has to be balanced to allow the system to evolve. Vlad identifies three factors that can be used to measure coupling: knowledge sharing, distance, and volatility.
By Vlad KhononovQCon AI focuses on practical, real-world AI for senior developers, architects, and engineering leaders. Join us Dec 16-17, 2025, in NYC to learn how teams are building and scaling AI in production—covering MLOps, system reliability, cost optimization, and more. No hype, just actionable insights from those doing the work.
By Artenisa Chatziou
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