Codetown ::: a software developer's community
Are you wondering what the presentation is about?
From Ed’s blog: http://ridingthecrest.com/blog/2018/07/10/orlando-jug-rockstar.html
How in the world can I keep up with all this information coming at me every day?
What can I do to ensure that I keep bringing value to my employer or client and to help ensure continued career success?
What will the practice of software development look like in ten years time?
How do I know where to invest time and effort in stewarding my skillset?
In 2008, Ed Burns interviewed top programmers from a variety of software disciplines for the book “Secrets of the Rock Star Programmers”. Now in 2018, Ed revisits the cross section of secrets (aka character attributes) exhibited by these rockstars for the current world of programming.
Join this session to learn more about these characteristics that can help you become a better programmer.
Ed interviews some of the best programmers of our time and shares their strategies for success.
A set of concrete, actionable steps you can take right now to become a better developer.
Tags:
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.
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 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 KrzaczyńskiWhat was originally planned for a full GA release of Jakarta EE 11 in July 2024, only the Core Profile and the Web Profile were delivered in December 2024 and April 2025, respectively. And now, the Jakarta EE 11 Platform has been delivered featuring one new specification and a new TCK. Ed Burns, Release Coordinator for Jakarta EE 11, spoke to InfoQ about the release of Jakarta EE 11.
By Michael RedlichMajor observability platform providers are integrating artificial intelligence into their monitoring systems, as enterprises look to their suppliers to reduce the manual work involved in keeping an eye on digital infrastructure. Companies have implemented AI-driven features designed to automate routine operational tasks and accelerate incident resolution processes.
By Matt Saunders
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