Daily Reading List – August 4, 2025 (#601)

Back at the office today after a vacation week. I admire my colleagues who “select all: delete” their inbox on the first day back. I don’t have that level of courage.

[article] When to Innovate and When to Imitate. In many cases, you should just copy what’s already out there. This article offers advice on when you should which strategy.

[article] AI use among software developers grows but trust remains an issue – Stack Overflow survey. I still need to dig through the survey itself, but we can read this piece to learn about what developers think of AI. More here.

[blog] Friday Forward – Different Strokes. Good stuff. Know your priorities, and own it. Try and enjoy the process versus obsessing over the goals themselves!

[article] Google Brings the A2A Protocol to More of Its Cloud. This protocol (and associated tooling) is maturing for everyone. And, we’re making it simpler to use with Google Cloud too.

[blog] Don’t hide behind AI to trim your belly fat. Start redesigning your workforce. These are some of the most frank analysts that I come across. No punches pulled.

[blog] Concerns beyond the accuracy of AI output. Here’s a post from our DORA research team that uses data from extended developer interviews to learn what they worry about.

[blog] Gemini CLI: Power up your Linux workflow. These agentic CLIs do more than mess with code. You might use it to set up your local machine, analyze files, and more.

[blog] Disposable Code Is Here to Stay, but Durable Code Is What Runs the World. I read whatever Charity writes, and this one is worth you reading as well.

[blog] Remember this: Agent state and memory with ADK. Terrific post that clearly explains the ideas of short term and long term memory with AI agents.

[blog] Security for Agents and Agents for Security: The Next Cybersecurity Frontier. This is a good space for entrepreneurs. When you have VCs begging for founders, you know there’s a market.

[article] The Observability of Observability. With AIOps, who is watching the watchers? This post encourages an approach where you have checks on your AI automated systems.

[article] Firebase Studio Has Me Second-Guessing My Opinion on Developing With AI. There’s no shortage of these prototyping IDEs. Firebase Studio is a good choice and does a surprising number of different things.

[blog] Rethinking how we measure AI intelligence. It’s not just who can remember what. Let’s test these LLMs using more sophisticated approaches. Like this!

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