Codetown ::: a software developer's community
March 21, 2011 to March 22, 2011 – Cobb Galleria Center Two complete days of great sessions and an opportunity to meet some of the best and brightest professional software talent in Atlanta, Ga. DevNexus is organized by the Atlanta Java Users Group (AJUG… Organized by Gunnar Hillert | Type: developer, conference
February 26, 2013 from 7pm to 9:30pm – Santa Fe Center for Innovation and Economic Development Please join Luis Garcia and Andy Martin as they give an introduction to Yeoman. This will be an exercise-based workshop approach, so please bring a laptop! You must register here: https://developers… Organized by Dan Trevino | Type: developer
August 22, 2018 from 6pm to 7pm – Chicago 1871 In a world where everyone and their mother uses web development, a quiet grassroots movement is bringing back native development. Whether you're brand-new to coding, or you just have framework fatigu… Organized by Chicago GDG | Type: google, developer, group, meetup
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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.
Check out the Codetown Jobs group.
Phil Calçado, CEO of Outropy, shared key insights at the InfoQ Dev Summit on scaling generative AI products. He highlighted the need for effective workflows and agents in AI development, advocating for iterative approaches that leverage proven software engineering principles. His insights promise to guide teams in building resilient AI systems without reinventing the wheel.
By Andrew HoblitzellRecently open-sourced by Google, the Agent2Agent protocol is now part of the Linux Foundation, along with its accompanying SDKs and developer tools.
By Sergio De SimoneApple Machine Learning Research published a paper titled "The Illusion of Thinking," which investigates the abilities of Large Reasoning Models (LRMs) on a set of puzzles. As the complexity of the puzzles increases, the researchers found that LRMs encounter a "collapse" threshold where the models reduce their reasoning effort, indicating a limit to the models' scalability.
By Anthony AlfordDenys Linkov shares lessons on preventing LLM production issues. He explains the flaws of single metrics, the importance of treating models as observable systems, building user-issue-alerting metrics, and focusing on business value. He emphasizes a "crawl, walk, run" approach to LLM metric maturity for successful, trust-building deployments.
By Denys LinkovGoogle DeepMind has announced the release of AlphaGenome, a new AI model designed to predict how genetic variants affect gene regulation across the entire genome. It represents a significant advancement in computational genomics by integrating long-range sequence context with base-pair resolution in a single, general-purpose architecture.
By Robert Krzaczyński
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