Daily Reading List – February 20, 2026 (#726)

Today's links look at 14 lessons from 14 years at Google, takeaways from a new "state of software delivery" report, and how one company reduced the size of their software component.
Daily Reading List – February 20, 2026 (#726)

Finally flying home after a terrific week in India. Today I had the chance to talk to startup founders and community leaders to share Google’s plans and hear what they’re thinking about.

[blog] 5 key takeaways from the 2026 State of Software Delivery (https://circleci.com/blog/five-takeaways-2026-software-delivery-report/). Creating more code, and shipping less often? A small number of people are getting AI-generated code to prod quickly, but most are struggling to ship at speed.

[blog] Cloud Run Services: A Practical Guide to Getting More Bang for Your Buck (https://medium.com/google-cloud/cloud-run-services-a-practical-guide-to-getting-more-bang-for-your-buck-a9fe18d7b598). It’s one thing to use a service for a few minutes while experimenting. But, what types of configurations matter most when you’re sticking with a cloud service for a while? Good advice here.

[blog] 14 More Lessons from 14 years at Google (https://addyosmani.com/blog/14-more-lessons). All lessons don’t apply to every person or situation, but I’m hard pressed to see how these aren’t relevant to all of us.

[article] How tech chiefs gauge ROI on AI (https://www.ciodive.com/news/roi-on-ai-CIO-executives/812453/). This looks like mature thinking about what tools can and cannot be responsible for.

[blog] The Secret Sauce of Reliable AI: Implementing Robust Pre/Post-Processing Hooks (https://medium.com/google-cloud/the-secret-sauce-of-reliable-ai-implementing-robust-pre-post-processing-hooks-e2450dbf30b7). Useful insight that I will try to remember more often. We have more capabilities at our disposal if we choose to use them!

[article] When Every Company Can Use the Same AI Models, Context Becomes a Competitive Advantage (https://hbr.org/2026/02/when-every-company-can-use-the-same-ai-models-context-becomes-a-competitive-advantage). Get your data management and context engineering efforts running at full speed if you hope to get legit value from AI.

[blog] What are the Trends in Agent Discoverability and Interoperability? (https://medium.com/google-cloud/what-are-the-trends-in-agent-discoverability-and-interoperability-91865e098365) This might seem like low-level content, but given how fast standards are changing, it’s important to know what’s going on.

[blog] How we reduced the size of our Agent Go binaries by up to 77% (https://www.datadoghq.com/blog/engineering/agent-go-binaries/). It’s not hard for software to get bloated over time. Datadog has a nice post about how they made an intentional effort to strip out old dependencies, dead code, and other things that made their agent too hefty.

[article] Google Gemini 3.1 Pro first impressions: a ‘Deep Think Mini’ with adjustable reasoning on demand (https://venturebeat.com/technology/google-gemini-3-1-pro-first-impressions-a-deep-think-mini-with-adjustable). Some thorough analysis of our latest model drop.

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