June 2009 Blog Posts (3)

New Computer Guide

What to look for when buying a new computer

The following guide will help you to answer the questions of what you need, what do I upgrade, and more.



The first thing you need to consider is what you will be doing with the computer. Will you need to store a lot of video, pictures, and music? Will this be a media center PC? Or will this computer just be a basic email, websurfing, and word processing… Continue

Added by Tim Stevesi on June 18, 2009 at 1:00pm — No Comments

Getting Started with Arduino





I just went to the Maker Faire in the Bay Area with my friend Michael Hauser. The expo was filled with Arduino products! Getting Started with Arduino (Make: Projects)

coincidentally… Continue

Added by Michael Levin on June 14, 2009 at 5:03pm — 1 Comment

Hi from JavaOne!

Hello from the largest dev conf in the world, J1! If you're here, too, please pingme @mikelevin on Twitter. There's a group here especially for J1 - http://www.codetown.us/group/javaone09



If you're here at J1 and want to share your experiences with Codetown, please upload photos, videos, blogposts, etc and tag them "javaone09"



I'll do my… Continue

Added by Michael Levin on June 1, 2009 at 7:32pm — 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.

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.

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InfoQ Reading List

Presentation: Scaling to 100+ as a Director: Lessons From Growing Engineering Organizations

Thiago Ghisi discusses the strategic evolution required to lead 100+ engineers without breaking the organization. He explains his "Three Levels of Impact" framework and shares practical lessons on speeding up decision-making, cultivating leadership teams, and building organizational resilience. Learn why he views reorgs as a continuous deployment feature rather than a one-time traumatic event.

By Thiago Ghisi

Airbnb Expands Global Checkout with “Pay as a Local,” Scaling to 220 Markets in 14 Months

Airbnb expands its global checkout with the “Pay as a Local” initiative, supporting over 20 locally preferred payment methods across 220 markets. The company replatformed its payments system with domain-oriented services, reusable flow archetypes, and a centralized configuration, enhancing integration speed, reliability, testing, and observability for diverse payment methods worldwide.

By Leela Kumili

MyTerms: A New IEEE Standard Enabling Online Privacy and Aiming to Replace Cookies

Nicknamed MyTerms, the new 7012-2025 IEEE standard defines mechanisms for exchanging personal information between individuals and online service providers, and specifies how individuals can enforce their privacy requirements during transactions.

By Sergio De Simone

Daggr Introduced as an Open-Source Python Library for Inspectable AI Workflows

The Gradio team has released Daggr, a new open-source Python library designed to simplify the construction and debugging of multi-step AI workflows. Daggr allows developers to define workflows programmatically in Python while automatically generating a visual canvas that exposes intermediate states, inputs, and outputs for each step in the pipeline.

By Robert Krzaczyński

Article: Why Most Machine Learning Projects Fail to Reach Production

In this article, the author diagnoses common failures in ML initiatives, including weak problem framing and the persistent prototype-to-production gap. The piece provides practical, experience-based guidance on setting clear business goals, treating data as a product, and aligning cross-functional teams for reliable, production-ready ML delivery.

By Wenjie Zi

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