Daily Reading List – October 1, 2025 (#639)

Had a day-trip to Sunnyvale to present to a room full of Google Cloud partners. Wasn’t feeling 100%, but still seemed to go ok. I referenced something from today’s reading list, which proves to me that I should keep doing the work to uncover these pieces 🙂

[blog] Effective context engineering for AI agents. Exceptionally good writeup that helps us better understand what context engineering is all about, why it matters, and how to approach it.

[blog] Cloud CISO Perspectives: Boards should be ‘bilingual’ in AI, security to gain advantage. I think a lot of non-engineering teams are thinking about how to become more fluent in AI so that they can make better decisions.

[article] Boards lack AI savvy as adoption advances: PwC. I can see why the above advice is so important. Most board members are flying blind.

[paper] On the Use of Agentic Coding: An Empirical Study of Pull Requests on GitHub. I haven’t seen a study like this one. It explores pull requests created by Claude Code, and how agent-generated PRs differ in size, acceptance rate, and such.

[blog] 100X Faster: How We Supercharged Netflix Maestro’s Workflow Engine. There’s probably no action item for you after reading this post, but it’s ok to just enjoy learning about what other people built.

[blog] Responsible Agents: A Phased Approach on Google Cloud. Excellent post. Here’s a well-rounded look at making responsible decisions during design, development, evaluation, deployment, and operations of agent systems.

[blog] Securing MCP Servers with Spring AI. Learn how to build MCP servers, but pay special attention to how you secure them too.

[blog] Forecasts and data insights come to BigQuery’s MCP and ADK tools. Or use turnkey MCP servers that already have great tools available in a secure fashion.

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