On Friday I mentioned that I wanted to hack around with the Dart programming language this weekend. I fought my instincts to just build something with AI and review the results. Instead, I crawled around the documentation for a couple of hours and used AI to clarify things I didn’t understand. That felt like a better way to learn!
[arricle] The Best Risk Mitigation Strategy in Data? A Single Source of Truth. This is all about semantic layers and one access point for data. Not a team as the gatekeeper, but a more centralized data approach.
[blog] A Cognitive Fitness routine for Software Engineers. If we’re not coding as much, how do we stay sharp? I like the idea of taking a proactive approach here.
[blog] GTIG AI Threat Tracker: Adversaries Leverage AI for Vulnerability Exploitation, Augmented Operations, and Initial Access. Feel a little anxious when you read this. That’s ok. Then do something about it.
[article] Yum Brands’ tech chief on building its ‘AI backbone.’ Yum Brands gets it. You can’t do AI stuff well if your fundamentals are busted. They’re focusing on getting their data house in order first.
[blog] Cloud Storage Rapid: Turbocharged object storage for AI and analytics. Just silly performance numbers here, but that’s what you should demand for today’s AI training and inference workloads.
[article] Leadership in AI-Assisted Engineering. Same playbook as before? Different one? I think different. Same big ideas, but think differently about goals, expectations, skills development, compliance checking, and such.
[blog] Ship code within minutes with the Gemini CLI DevOps Extension. I can’t imagine that CI/CD stays the same as we offload work to AI. But either way, I like solutions like this which abstract some of the CI/CD infrastructure.
[article] How Fast-Growing Companies Can Make Better Decisions. Happens in fast-growing and moving teams too. This article proposes “structured empowerment” as a way to decentralize responsibly.
[blog] Run your Gen AI Functions quicker and (up to 90%) cheaper in BigQuery with Gemini Context Caching. Wow, instead of paying for a ton of context when AI gets applied to each row in your warehouse, use context caching.
[article] Tokenmaxxing, Promomaxxing, and Misaligned Incentives in Tech. You get the behavior you incentivize. Good wisdom in this post.
[article] The Pulse: AI load breaks GitHub – why not other vendors? AI is stretching all sorts of platforms, but GitHub didn’t seem ready for it.
[article] Why Open Source Maintainers Are Done With AI Slop. Old assumptions don’t work anymore, as the trust contract is gone.
[blog] GitLab Act 2. A restructuring of teams and priorities. “The world we’re building for” and “architectural bets we’re making” are clear.
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Richard Seroter's Architecture Musings 
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