Eric kovar
  • Male
  • Orlando, FL
  • United States
Share on Facebook MySpace
  • Blog Posts
  • Discussions
  • Events
  • Groups
  • Photos
  • Photo Albums
  • Videos

Gifts Received

Gift

Eric kovar has not received any gifts yet

Give a Gift

 

Eric kovar's Page

Profile Information

How did you hear about Codetown?
Mike the Man
What are your main interests in software development?
smart phone software
Do you have a website?
http://no, but I need one don't I
Anything else you'd like to add? Where do you live? (optional!)
looking forward to joining in

Comment Wall (1 comment)

You need to be a member of Codetown to add comments!

Join Codetown

At 9:09pm on February 1, 2010, Michael Levin said…
Hi Eric and welcome to Codetown! Now you have a website: http://www.codetown.us/profile/Erickovar Here are some features you'll like at Codetown. You have a blog built into your webpage. People can subscribe using this RSS feed http://www.codetown.us/profiles/blog/feed?user=Erickovar That's a little long, so they can just click on the feed icon at the end of your blog to subscribe. Anything you blog winds up in column 1, row 1 of the Codetown homepage, just like a newspaper. You can join groups, post comments, create discussions, events and even create your own group. There's a share feature that lets you share items with other networks like Facebook. And, your friend features let you connect with other people and invite friends to join. But, best of all, this is a community of like-minded folks - they all love software development and are willing to share what they know. For your website, just remember "codetown dot com slash profile slash Erickovar" Enjoy! All the best, Mike
 
 
 

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.

Looking for Jobs or Staff?

Check out the Codetown Jobs group.

 

Enjoy the site? Support Codetown with your donation.



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

© 2026   Created by Michael Levin.   Powered by

Badges  |  Report an Issue  |  Terms of Service