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Dan Trevino
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- What are your main interests in software development?
- code
Happy 10th year, JCertif!
Notes
Welcome to Codetown!
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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InfoQ Reading List
Presentation: Security or Convenience - Why Not Both?
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 ParadDevSummit Boston: Key Lessons from Shipping AI Products Beyond the Hype
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 HoblitzellGoogle's Agent2Agent Protocol Enters the Linux Foundation
Recently 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's Illusion of Thinking Paper Explores Limits of Large Reasoning Models
Apple 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 AlfordPresentation: A Framework for Building Micro Metrics for LLM System Evaluation
Denys 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
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Hi Dan and welcome to Codetown! All the best, Mike