Jose Sosa
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Spring Town

Dependency injection. It's a smart approach. Believe that? We do! Come on in and share what you know. Ask all your Spring questions here, too!
Sep 21, 2019
Jose Sosa is attending Michael Levin's event
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OrlandoJUG ::: JPA 2.1 Entity Graphs in Spring Data with Richard at Starter Studio

January 23, 2020 from 6pm to 8pm
Join us for a talk featuring Richard ThibaultRichard Thibault is a full-stack web and mobile developer with over 25 years of experience in the software industry. He is currently focused on Java and Spring, though he also develops in Objective C, Swift, and Javascript. He has built apps for various industries over the years, including banking, travel, and real estate. In…See More
Sep 21, 2019
Jose Sosa is now a member of Codetown
Sep 21, 2019
Jose Sosa shared Michael Levin's event on Facebook
Sep 21, 2019
Jose Sosa shared Michael Levin's event on Facebook
Sep 21, 2019

Profile Information

How did you hear about Codetown?
Through Meetup apo
What are your main interests in software development?
Java Back-End, Spring Framework, REST and SOAP, microservices.

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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.

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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: Building Evals for AI Adoption: From Principles to Practice

Mallika Rao discusses the hidden risk of evaluation debt in production AI systems, drawing on her experience at Twitter, Walmart, and Netflix. She explains why traditional metrics fail modern architectures, breaks down a five-layer evaluation stack spanning infrastructure and UX, and shares a diagnostic maturity model to help engineering leaders eliminate silent semantic failures.

By Mallika Rao

AI-Assisted Migration Tool Helps Teams Move from ingress-nginx to Higress in Minutes

The Cloud Native Computing Foundation has highlighted a new AI-assisted migration approach that enabled engineers to migrate 60 ingress-nginx resources to Higress in roughly 30 minutes, demonstrating how artificial intelligence is increasingly being applied to modernize Kubernetes networking and gateway infrastructure.

By Craig Risi

GitHub Slashes Agent Workflow Token Spend up to 62% with Daily Audits and MCP Pruning

GitHub reports cutting token costs in agentic CI workflows by up to 62% by pruning unused MCP tools, swapping some MCP calls for gh CLI, and running daily “auditor” and “optimizer” agents. A token-usage.jsonl artefact and an Effective Tokens metric help track spend across models and spot regressions.

By Mark Silvester

Presentation: From Founding Engineer to CTO to CEO – At the Same Startup

Trisha Ballakur discusses her journey from a backend software engineer to CTO and CEO, using her startup Pointz as a case study. She explains how to implement bottom-up customer discovery to find product-market fit, effectively delegate to global contractors to reduce build times, customize open-source repos like Valhalla, and apply engineering test-case models to business development.

By Trisha Ballakur

Accountability is the Goal for AI, with EU Regulations Supporting Transparency

AI bias mirrors human bias; both stem from our language and lived experiences. Ethics and AI are inseparable, but AI changes affordances, making harmful actions easier to carry out. The EU regulations apply to AI, since digital products are products. The ultimate goal is accountability: companies must ensure transparency, and laws should favor using the simplest AI that gets the job done.

By Ben Linders

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