Daily Reading List – July 27, 2026 (#833)

Gemini helped me succeed at the horse races on Saturday. Great use of AI. In today’s list, I liked some of the leadership and mentorship content.

[blog] The AI Productivity Paradox. Instead of AI closing the gap, the best product companies are getting even further ahead. It doesn’t matter if you deliver faster if you aren’t learning what matters to users.

[blog] Stain the Page: How I Prototype with AI. If you know what you’re trying to prove, this is a great approach to getting started.

[article] Why Mentoring Matters More in the AI Era. Good advice. Not everyone can automatically be a mentor, as it may take training to do it effectively. But it’s well worth the investment.

[blog] Security Must Be Built In as Everyone Becomes a Builder. I don’t see this talked about enough. It’s great that everyone can build. But we (all?) need platforms with built-in guardrails and security controls to keep us safe.

[blog] Why AI apps fail in production (And how Google solved it). A simple (but safe) prototyping stack matters, even more billion-user products like YouTube. Good post, and fun video.

[article] Stop Overengineering Your Agent Harness. Many of our harness “best practices” are temporary until the model absorbs more capabilities.

[blog] Running Gemma 4 locally on Mac: Benchmarking Qxotic Jinfer, llama.cpp, MLX, and connecting Java 25 with LangChain4j. It’s gotten easier to build these types of benchmarks. Interesting results!

[blog] Meta Compute, Neoclouds and the Future of the AI Infrastructure Market. You’ve got compute, the market wants compute, go sell it! Yes you can, but building a business out of that takes time and commitment.

[article] AWS, Google Cloud, Microsoft Azure, and Cloudflare now all offer agent sandboxes. None built them the same way. We’ve all solved it slightly differently, but seem to agree that untrusted code doesn’t belong on the host machine.

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