Codetown
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May 2009 Blog Posts (7)
SOA Design Patterns
Added by Sunny Wear on May 21, 2009 at 5:19pm — 4 Comments
Open Source Bridge
Open Source Bridge is a new conference for developers working with open source technologies. It will take place June 17-19 in Portland, OR, with five tracks connecting people across projects, languages, and backgrounds to explore how we do our work, and why we participate in open source. The conference structure is designed to provide developers with an opportunity to learn from people they might not connect with at… Continue
Added by Michael Levin on May 20, 2009 at 11:30am — No Comments
JSR Watch: Here’s to Progress
http://java.ulitzer.com/node/965152
JSR Watch: Here’s to Progress
And here’s to the next 10 years!
By Patrick Curran
May 15, 2009 03:00 PM EDT
Reads: 560
The end of the year is an opportunity to review the past year's activity, and to present this to our Executive Committee (EC)… Continue
Added by Michael Levin on May 19, 2009 at 8:30pm — No Comments
All About Scala
Added by Michael Levin on May 15, 2009 at 10:30am — No Comments
On breadth vs. depth of technical knowledge...
Added by Michael Levin on May 14, 2009 at 1:30pm — No Comments
Grooveshark Internship
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Added by Michael Levin on May 8, 2009 at 12:00pm — No Comments
The Instructables
I was talking with my friend Daniel at the McRorie Community Garden in Gainesville yesterday. He said that gardening sensors were all the rage. Pointed to the… Continue
Added by Michael Levin on May 8, 2009 at 9:30am — No Comments
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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.
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 RaoAI-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 RisiGitHub 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 SilvesterPresentation: 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 BallakurAccountability 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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