Tim Stevesi
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  • Cincinnati, OH
  • United States
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Started this discussion. Last reply by Tim Stevesi Jun 18, 2009.

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What are your main interests in software development?
I am a software development in asp/asp.net.

Tim Stevesi's Blog

New Computer Guide

Posted on June 18, 2009 at 1:00pm 0 Comments

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

Disable unnecessary services

Posted on March 25, 2009 at 10:11am 0 Comments

I am working on a list of services for my article about disabling unnecessary services. So far I have the following services:



Computer Browser

Error Reporting Service

Help and Support

Indexing Service

Messenger

NetMeeting Remote Desktop Sharing

Performance Logs and Alerts

Protected storage (this service stores passwords and enables auto-complete for web forms)

Remote… Continue

New website tips

Posted on March 12, 2009 at 1:30pm 0 Comments

Hello,

I recently created one of my first websites on my own that is about free slow computer tips. I have coded a few functions up in asp. If anyone wants to check it out and provide any suggestions or found bugs I would appreciate it. Also, if you have any good tips you think really need to be added, those are welcome too. However, I will be trying to add those as I go along.

Thanks for any help!

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At 9:51am on August 11, 2017, Michael Levin said…

Happy birthday, Tim!

At 4:42pm on March 11, 2009, Michael Levin said…
Hi Tim and welcome to Codetown!

Best,

Mike
 
 
 

Happy 10th year, JCertif!

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Welcome to Codetown!

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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: 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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