Daily Reading List – June 27, 2025 (#577)

It’s the end of a busy week. I’m looking forward to a hopefully-quiet weekend with the family and a few good books. Take a breather too!

[article] How much does AI impact development speed? Good look at some new research into how much AI impacts developers and their pace. Interesting that seniority and prior usage didn’t change the outcome.

[blog] Veo 3: A Detailed Prompting Guide. This is absolutely fantastic. Get all the right phrases and jargon to use when prompting a text-to-video model like Veo 3. Gold!

[blog] Gemini CLI: Technical Assessment Report – AI Hacker Lab Technical Analysis. Wow, what a thorough analysis. We’re only 3 days into this product, but we’ve already shipped a few updates, and somehow became the most starred agentic CLI on GitHub.

[article] Walmart cracks enterprise AI at scale: Thousands of use cases, one framework. I liked some of the insights here, including an evolution of success metrics from funnels and conversion, to actual goal completion.

[blog] Coding agents have turned a corner. It’s fine when goofballs like me use these AI tools and offer guidance, but I really value the advice from capital-E Engineers like Brian. Here, he offers his direction on how to work with coding agents.

[blog] First steps with Gemini Code Assist agent mode. Excellent post that shows the workflow and tooling for using agents within your VS Code editor.

[blog] The rise of “context engineering.” The idea here is making sure the LLM has the right information and tools it needs to accomplish its task. It’s a system approach, versus thinking in prompts alone.

[blog] Introducing BigQuery ObjectRef: Supercharge your multimodal data and AI processing. This seems super cool and useful. Reference a binary object from within your structured tables and do single queries that can factor it all in.

[blog] The Google for Startups Gemini kit is here. Startups seem to gravitate towards Google, and we’re making it even better for them with this offering.

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