"Hello. What is your need for Java developers by the beginning of the year next year? Thank you."
Codetown
Codetown ::: a software developer's community
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Florence Vicil
- Female
- Saint Cloud, FL
- United States
- Blog Posts
- Discussions (2)
- Events
- Groups (4)
- Photos
- Photo Albums (2)
- Videos
Florence Vicil's Groups
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Coding Dojo
6 members
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OrlandoJUG Town
96 members
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Java SE Town
14 members
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Jobs
75 members
Gifts Received
Florence Vicil has not received any gifts yet
Florence Vicil's Page
Latest Activity
"Hello. What is the minimum length of a contract? Thank you."
Coding Dojo
A Coding Dojo is a meeting where a bunch of coders get together to work on a programming challenge. They are there to have fun and to engage in DeliberatePractice in order to improve their skills.
OrlandoJUG Town
Hello Juggies!The time has come for someone else to take the reins with this group. It’s been incredibly rewarding for over 20 years and I thank all of you for your contributions. Hopefully I will see many of you at the next meet up.Best regards,MikeSee More
Java SE Town
This group focuses on the Java SE environment. It's the core Java group. Questions? Answers? Musings? This is the place for you!
"Welcome to Codetown! You may want to join some groups. That way, when there’s activity, you’ll get notified. And, you can manage notifications as you like. "
Profile Information
- How did you hear about Codetown?
- Mike Levin
- What are your main interests in software development?
- web development
Comment Wall (1 comment)
- At 9:24am on June 26, 2019,
Michael Levin said…
Welcome to Codetown! You may want to join some groups. That way, when there’s activity, you’ll get notified. And, you can manage notifications as you like.
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…
ContinueCreated by Michael Levin Dec 18, 2008 at 6:56pm. Last updated by Michael Levin May 4, 2018.
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Check out the Codetown Jobs group.
InfoQ Reading List
Presentation: Slack's AI-Powered, Hybrid Approach for Large-Scale Migration from Enzyme to React Testing Library
Sergii Gorbachov shares how his team at Slack saved thousands of hours by using an innovative hybrid approach combining AST and LLM to tackle a complex migration from Enzyme to React Testing Library. He explains the challenges of this widespread problem, detailing how they built a pipeline that modeled human problem-solving to successfully automate the migration.
By Sergii GorbachovLinkedIn Re-Architects Edge-Building System to Support Diverse Inference Workflows
LinkedIn has detailed its re-architected edge-building system, an evolution designed to support diverse inference workflows for delivering fresher and more personalized recommendations to members worldwide. The new architecture addresses growing demands for real-time scalability, cost efficiency, and flexibility across its global platform.
By Leela KumiliDeepSeek Releases v3.1 Model with Hybrid Reasoning Architecture
DeepSeek has released version V3.1 of its large language model, introducing a hybrid architecture that combines thinking and non-thinking modes in a single system.
By Daniel DominguezPresentation: Platform Engineering Patterns for Scalable Software Delivery
Building a successful Internal Developer Platform (IDP) requires balancing standardization with developer autonomy. The panelists discuss the core components of modern platforms, the role of platform teams, and strategies for driving adoption across diverse teams. They also share key patterns, anti-patterns, and lessons learned.
By Cat Morris, Martin Reynolds, Mike Fielder, Boyan Dimitrov, Renato LosioArticle: How Causal Reasoning Addresses the Limitations of LLMs in Observability
Large language models excel at converting observability telemetry into clear summaries but struggle with accurate root cause analysis in distributed systems. LLMs often hallucinate explanations and confuse symptoms with causes. This article suggests how causal reasoning models with Bayesian inference offer more reliable incident diagnosis.
By Dhairya Dalal
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