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Song A Day #588: That's Just The Woz
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Happy 10th year, JCertif!
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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
QCon London 2026: Ethical AI Is an Engineering Problem
At QCon London 2026, Clara Higuera, Responsible AI Program Lead at BBVA, presented how many of the risks associated with AI systems are fundamentally engineering challenges rather than purely governance or policy issues.
By Daniel DominguezPresentation: From Friction to Flow: How Great DevEx Makes Everything Awesome
Nicole Forsgren discusses the "AI Productivity Paradox", explaining why generating code faster often makes deployment bottlenecks more expensive. She shares the DevEx framework to help architects and leaders systematically remove friction. Learn how to use DORA metrics and RICE prioritization to make a data-driven case for platform health.
By Nicole ForsgrenArticle: Lessons from Adopting SwiftUI in an App with 50 Million Users
Most SwiftUI educational content focuses on small projects and sample apps that do not explain what it means to adopt it in a 50 million user app developed by a team of 20+ iOS engineers. This article will attempt to fill this gap. and show how to succeed without breaking your team, your app, or your users' trust along the way.
By Jimit PatelArticle: Architecting Portable Systems on Open Standards for Digital Sovereignty
Digital sovereignty is about maintaining control of critical systems by limiting reliance on any single vendor. Open standards and portable architectures reduce lock‑in and keep migration options open, even when providers change pricing, licensing, or viability. Full independence is impossible, but disciplined design and clear guardrails strengthen resilience.
By Jakob BeckmannQCon London 2026: Running AI at the Edge - Running Real Workloads Directly in the Browser
At QCon London 2026, James Hall discussed running AI workloads directly in browsers, highlighting local processing benefits such as enhanced privacy, reduced latency and cost. He examined technologies like Transformers.js and WebGPU, illustrated practical applications, and provided guidelines for browser-based AI implementation, emphasizing appropriate use cases and evaluation principles.
By Daniel Curtis
© 2026 Created by Michael Levin.
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