I’m about to fly up to San Jose to be at Google I/O tomorrow. It’s probably recency bias, but this looks like our biggest builder-focused I/O since I got here. Some fantastic announcements coming!

[article] From Open Source Software to Open Source Strategy (https://p3institute.substack.com/p/from-open-source-software-to-open). What a great essay. Full of genuine insights into open source, and how the landscape is shifting.

[blog] Don’t Outsource the Learning (https://addyosmani.com/blog/dont-outsource-learning/). LLMs cater to finishing a task, not teaching us. You need to be intentional about how you continue to develop your skills.

[article] Why Doesn’t Anyone Teach Developers About Context Management? (https://www.oreilly.com/radar/why-doesnt-anyone-teach-developers-about-context-management/) Get good at context management. It’s worth the upfront and ongoing investment to feed relevant info into your LLMs.

[blog] Beyond SQL: How BigQuery Evolved into a Complete AI and Graph Platform (https://medium.com/google-cloud/beyond-sql-how-bigquery-evolved-into-a-complete-ai-and-graph-platform-335a72c70789). BigQuery’s built-in graph and AI functions make tasks like this much more straightforward.

[blog] Everything You Know About Scaling Web Apps Breaks When You Serve an LLM (https://www.dheeth.blog/llm-serving-is-not-normal-web-serving). Great stuff. Tokens matter more than requests, memory management is different, load balancing isn’t the same, and tackle cost optimization differently when serving models.

[article] Opinion: Vibe coding needs an on-ramp — and seat belts (https://www.geekwire.com/2026/opinion-vibe-coding-needs-an-on-ramp-and-seat-belts/). Sure. There’s still a LOT of implicit knowledge needed to build software correctly. But new tools and baking that knowledge into the process.

[blog] Just Fucking Use Go (https://blainsmith.com/articles/just-fucking-use-go/). I can’t pinpoint who’s voice I heard in my head while reading this. But man, I laughed a few times, and so much of this is spot on.

[blog] Open and Closed: The Pursuit of Frontier Models (https://redmonk.com/sogrady/2026/05/15/open-ai-models/). Deep analysis by Steve here. Closed beats open today on innovation and performance, but the cycle needed to close the gap keeps shrinking.

[article] Engineering roles shift from developing code to managing AI (https://www.ciodive.com/news/engineering-roles-shift-managing-AI/820297/). I suspect this won’t be a long-term shift to just reviewing AI output. That’ll be a relatively solved problem, and the work shifts again to primarily “thinking” and orchestrating.

[blog] Who Determines Done? Why Agentic AI Needs Escalation, Not More Loops (https://thectoadvisor.com/blog/2026/05/17/who-determines-done-why-agentic-ai-needs-escalation-not-more-loops/). Great question. Do you just “loop harder”? Keith looks at when escalation is needed and how to think about it.

[blog] How I use LLMs as a staff engineer in 2026 (https://www.seangoedecke.com/how-i-use-llms-in-2026/). Agents are good right now. That fact may change what tasks you throw at them. But own the core of your job.

[article] Forward deployed engineer is AI’s hottest job as OpenAI and Google race to hire. Here’s how to become one (https://thenewstack.io/forward-deployed-engineer-fde-openai-google/). Definitely a cool job. Probably one I would have pursued at some point in my career. But it’s based on knowledge, so get hands-on experience!

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