Bradlee Sargent
  • Male
  • Orlando, FL
  • United States
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How did you hear about Codetown?
Going to the java club meetings at Devry University in Orlando Florida
What are your main interests in software development?
Developing applications from home working remotely using the Oracle database, Java, HTML, CSS, and even newer technologies.
Do you have a website?
http://www.linkedin.com/in/bradlee-sargent-1737853/
Anything else you'd like to add? Where do you live? (optional!)
I love the Lord Jesus Christ with all my heart and wish that everyone I know has a chance to get to know the Lord as well.

Bradlee Sargent's Blog

Free web hosting...

Posted on January 3, 2019 at 12:25pm 1 Comment

If I want to develop my own simple web application use it as part of an online portfolio, where do you recommend I do that?  I tried openshift but apparently they are currently overloaded with requests.

Attending Campus Crusade's Midsouth Conference...

Posted on December 31, 2009 at 5:47pm 1 Comment

It's the first time I have ever attended a Christian conference where twitter was being used so much during the conference. Usually I don't equate twitter with a Christian conference, but Campus Crusade's midsouth conference is certainly an exception. From the beginning of the conference to the end, participants were tweeting all kind of stuff all the time.

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At 12:22pm on January 17, 2019, Michael Levin said…

Thanks for the heads up! I can’t post stuff every day. I depend on the members to make content. Please, feel free! Come to the Ojug Tuesday!

At 9:43am on May 13, 2018, Michael Levin said…

Happy birthday, Bradlee! Hope all is well. How's it going?

At 7:28pm on February 9, 2009, Michael Levin said…
Hi Bradlee and welcome to Codetown!

Best,

Mike

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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.

When you create a profile for yourself you get a personal page automatically. That's where you can be creative and do your own thing. People who want to get to know you will click on your name or picture and…
Continue

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: Beyond the Warehouse: Why BigQuery Alone Won’t Solve Your Data Problems

Sarah Usher discusses the architectural "breaking point" where warehouses like BigQuery struggle with latency and cost. She explains the necessity of a conceptual data lifecycle (Raw, Curated, Use Case) to regain control over lineage and innovation. She shares practical strategies to design a single source of truth that empowers both ML teams and analytics without bottlenecking scale.

By Sarah Usher

Java Explores Carrier Classes to Extend Data-Oriented Programming Beyond Records

The OpenJDK Amber project has published a new design note proposing “carrier classes” and “carrier interfaces” to extend record-style data modeling to more Java types. The proposal preserves concise state descriptions, derived methods, and pattern matching, while relaxing structural constraints that limit records.

By A N M Bazlur Rahman

Vercel Introduces Skills.sh, an Open Ecosystem for Agent Commands

Vercel has released Skills.sh, an open-source tool designed to provide AI agents with a standardized way to execute reusable actions, or skills, through the command line.

By Daniel Dominguez

Agent Trace: Cursor Proposes an Open Specification for AI Code Attribution

Cursor has published Agent Trace, a draft open specification aimed at standardizing how AI-generated code is attributed in software projects. Released as a Request for Comments (RFC), the proposal defines a vendor-neutral format for recording AI contributions alongside human authorship in version-controlled codebases.

By Robert Krzaczyński

Article: From Alert Fatigue to Agent-Assisted Intelligent Observability

As systems grow, observability becomes harder to maintain and incidents harder to diagnose. Agentic observability layers AI on existing tools, starting in read-only mode to detect anomalies and summarize issues. Over time, agents add context, correlate signals, and automate low-risk tasks. This approach frees engineers to focus on analysis and judgment.

By Rohit Dhawan

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