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The Bilingual Developer
These days, it's hard to stick with just one language. Sure, you may be a Java developer or a Rubyist and "not interested" in learning another language. We tend to get comfortable in our comfort zone. But, being a polyglot has its advantages.
Tim Crowley just presented at SunJUG and Chris Schaefer was kind enough to circulate Tim's slides. I haven't spent much time on them yet, but being an iOS user and Android admirer, about to go from one to the other, and in light of the recent WWDC revelations, I am sure going to read these slides with passion. Enjoy, and please comment to let us know what you think!
Comment
Happy 10th year, JCertif!
Notes
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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 GhisiAirbnb Expands Global Checkout with “Pay as a Local,” Scaling to 220 Markets in 14 Months
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By Leela KumiliMyTerms: 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 SimoneDaggr 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 KrzaczyńskiArticle: 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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