Marissa Montgomery
Share on Facebook MySpace

Marissa Montgomery's Groups

Gifts Received

Gift

Marissa Montgomery has not received any gifts yet

Give a Gift

 

Marissa Montgomery's Page

Profile Information

How did you hear about Codetown?
Leader - Michael Levin
What are your main interests in software development?
I'm a technical recruiter specializing in development and design recruiting who is interested in learning more about the technologies involved with development including JAVA. I am also interested in meeting the people who do development and helping in any way I can on the job market or otherwise. I also am very interested in the programs developed as I love using the web and various software applications :)
Anything else you'd like to add? Where do you live? (optional!)
I live in Orlando, FL and work on job positions (including JAVA and other development roles) throughout Central Florida including Daytona Beach, Orlando, Melbourne, and Tampa and in connection with colleagues nationwide.

Comment Wall (1 comment)

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

Join Codetown

At 1:29pm on August 12, 2015, Michael Levin said…

Hi Marissa and welcome to Codetown! You'll want to join the OJUG and GatorJUG groups here also, I bet. Looking forward to meeting you next Thursday!

 
 
 

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

Pinterest Reduces Spark OOM Failures by 96% Through Auto Memory Retries

Pinterest Engineering cut Apache Spark out-of-memory failures by 96% using improved observability, configuration tuning, and automatic memory retries. Staged rollout, dashboards, and proactive memory adjustments stabilized data pipelines, reduced manual intervention, and lowered operational overhead across tens of thousands of daily jobs.

By Leela Kumili

Presentation: Duolingo's Kubernetes Leap

Franka Passing discusses the architectural shift of Duolingo’s 500+ backend services to Kubernetes. She explains the move toward GitOps with Argo CD, the transition to IPv6-only pods, and the "cellular architecture" used to isolate environments. She shares "reports from the trenches" on managing developer trust, navigating AWS rate limits, and productionizing early adopter services.

By Franka Passing

Article: A Better Alternative to Reducing CI Regression Test Suite Sizes

How can you focus in a sea of results from a large regression test suite? This article describes a stochastic approach that relies on some degree of redundancy in your CI regression test set. This approach does not guarantee you will catch every bug every time, but it gives you your best bet of not missing the subtle signatures of all the bugs uncovered by your CI regression test suite runs.

By James Bornefelt Westfall

Podcast: Context Engineering with Adi Polak

In this episode, Thomas Betts and Adi Polak talk about the need for context engineering when interacting with LLMs and designing agentic systems. Prompt engineering techniques work with a stateless approach, while context engineering allows AI systems to be stateful.

By Adi Polak

Dynamic Languages Faster and Cheaper in 13-Language Claude Code Benchmark

A 600-run benchmark by Ruby committer Yusuke Endoh tested Claude Code across 13 languages, implementing a simplified Git. Ruby, Python, and JavaScript were the fastest and cheapest, at $0.36- $0.39 per run. Statistically typed languages cost 1.4-2.6x more. Adding type checkers to dynamic languages imposed 1.6-3.2x slowdowns. Full dataset available on GitHub.

By Steef-Jan Wiggers

© 2026   Created by Michael Levin.   Powered by

Badges  |  Report an Issue  |  Terms of Service