Great day here in Sunnyvale, with my “AI-first product lifecycle” talk + demo landing pretty well. I love hearing the questions from customers, as it calibrates me on what “real” people (not social media folks) care about.
[blog] Skills, Tools and MCPs – What’s The Difference? Well-written breakdown with easy to remember categories for these capabilities.
[blog] New developer tools for Google AI Pro and Ultra subscribers. Cloud credits are now included in our Google AI subscriptions.
[blog] the browser is the sandbox. Really good. Before reinventing the wheel, recognize that we have a hardened, widely-accessible sandbox right in front of us!
[blog] Beyond the “Happy Path”: Adding SpecKit to my Antigravity Workflow. Yes, tools like this can collapse steps and show eagerness to start building. It’s smart to slow down and make sure the product and engineering specs are solid.
[article] AI makes the database matter again. I’m not exactly sure how, but I do think databases will emerge as a bigger component of AI systems this year.
[blog] The Six Essential Protocols Powering the AI Agent Ecosystem. There’s probably more, but these are ones with significant mindshare already.
[article] When You Have to Assign Work No One Wants to Do. This gave me some tips for improving how I delegate or assign undesirable work.
[blog] BigQuery AI supports Gemini 3.0, simplified embedding generation and new similarity function. Easier to use and more powerful AI baked into the data warehouse? For data science and data analytics work, this is excellent.
[article] MCP shipped without authentication. Clawdbot shows why that’s a problem. Clawdbot is everywhere, although today they had to change their name to appease Anthropic. Either way, be careful out there and use good sandboxes.
[blog] Executable Markdown Files with gcli-mdrun & Gemini CLI. Wow, maybe Markdown + English is my programming preference this year! Super neat work from Guillaume that shows how you can go straight from intent to results.
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