Big reading list today, and many of the items are articles with some important insights.

[blog] Gemini Managed Agents: Developer Guide (https://www.philschmid.de/gemini-managed-agents-developer-guide). I tried this out last week and plan to spend more time with it. I’m impressed by how rich this service is for executing custom agents.

[article] The role of MCP in context engineering (https://www.infoworld.com/article/4175336/the-role-of-mcp-in-context-engineering.html). You can overuse it, or underuse it. But MCP has legit value and it’s different value than what skills or CLIs do.

[article] Amid heavy AI use, workers say their skills are atrophying (https://www.hrdive.com/news/amid-heavy-ai-use-workers-say-skills-atrophying/820975/). This is the risk. If you use AI to do your job, instead of making you better at your job, you’re going to feel unsettled.

[blog] A Practical Guide to Evaluating Multi-Turn Agent Trajectories (https://medium.com/google-cloud/a-practical-guide-to-evaluating-multi-turn-agent-trajectories-bc21042dbac8). You can’t just look at success/fail for your agent. Especially if they’re long-running. Karl offers good advice about what to look for.

[article] Tech CEOs are apparently suffering from AI psychosis (https://techcrunch.com/2026/05/27/tech-ceos-are-apparently-suffering-from-ai-psychosis/). Don’t let one demo or hands-on effort delude you into thinking AI can do everything for everyone. Really understand what it can (and can’t!) do.

[article] Choosing to Stay Human (https://www.oneusefulthing.org/p/choosing-to-stay-human). Notable writeup by Ethan that talks about what happens when we offload the wrong work to AI.

[blog] Build new features using built-in AI in Chrome (https://developer.chrome.com/blog/build-new-features-using-built-in-ai-in-chrome-io2026). It’s fairly easy to build apps that take advantage of Chrome’s built-in AI model.

[article] Who Authorized That? The Delegation Problem in Multi-Agent AI (https://www.oreilly.com/radar/who-authorized-that-the-delegation-problem-in-multi-agent-ai/). Is authorization adapting as fast as it needs to? Probably not. This article explains the problem and what solutions are emerging.

[blog] Securing AI agents with MCP Authorization (https://medium.com/google-cloud/securing-ai-agents-with-mcp-authorization-5cd8a552c45b). Here’s one improvement on authorization to key data and tools.

[article] How the AC/DC framework helps teams govern AI coding agents (https://thenewstack.io/agentic-development-cycle-framework/). The Agent Centric Development Cycle framework explains how agent development works at scale. Supposedly. Some valid points here!

[blog] Building an AI-Native CI/CD Experience with sem-ai (https://semaphore.io/building-an-ai-native-ci-cd-experience-with-sem-ai). These seemed like fresh thoughts on what’s needed for modern CI/CD.

[blog] Getting Started with Antigravity 2.0 (https://medium.com/google-cloud/getting-started-with-antigravity-2-0-updated-8a953f079f97). Most comprehensive post I’ve seen yet! Romin explains so many of the parts of this updated agentic coding tool.

[article] Managers Are Struggling to Keep Up with the AI Productivity Boom (https://hbr.org/2026/05/managers-are-struggling-to-keep-up-with-the-ai-productivity-boom). An “always-on review environment.” I feel that. Best article I read today.

[article] Google made agentic AI governance a product. Enterprises still have to catch up (https://www.artificialintelligence-news.com/news/agentic-ai-governance-enterprise-readiness-google/). Great to see some journalists notice the deeper investments we’ve been making. Hard for others to replicate!

[blog] Running agents in production with Google’s Gemini Managed Agents (https://wandb.ai/byyoung3/bug-finder/reports/Running-agents-in-production-with-Google-s-Gemini-Managed-Agents--VmlldzoxNjk1NDIyMQ). Cool post from Weights & Balances on a real use case for our Managed Agents service.

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