Codetown ::: a software developer's community
Time: October 25, 2017 to October 27, 2017
Location: Rosen Shingle Creek, Orlando
Street: 9939 Universal Blvd.
City/Town: Orlando, FL
Website or Map: https://www.pentahoworld.com/
Event Type: conference
Organized By: Hitachi
Latest Activity: Oct 10, 2017
At the Rosen Shingle Creek, right here in Orlando. All about big data.
"Join the biggest gathering of Pentaho experts, users, advocates, and thought-leaders to learn the best practices, use cases and innovations to drive transformation and growth in your organization.
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.
Dorota Parad shares the BLISS framework (Bulkheads, Levels, Impact, Simplicity, Pit of Success), explaining how we can eliminate productivity sacrifices made in the name of security. She discusses optimizing security practices to reduce friction, improve developer experience, and build more resilient systems that meet compliance without hindering innovation.
By Dorota ParadPhil 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 Linkov
© 2025 Created by Michael Levin.
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