Daily Reading List – February 3, 2026 (#713)
I’ve got a customer presentation tomorrow, and I love that deeply personalizing a demo now takes 30 minutes instead of hours. A couple of prompts to Google Antigravity, some light supervision, and I’ve got a nice little system deployed to the cloud.
[blog] Gemini Interactions API — One interface for models and agents (https://medium.com/google-cloud/gemini-interactions-api-one-interface-for-models-and-agents-986ffb16021c). So much functionality hiding behind a single API endpoint! Mete does a great job explaining why Gemini model endpoints are capable of more than you think.
[blog] Automatic programming (https://antirez.com/news/159). If you’re in control and setting your software vision, it’s not vibe coding.
[article] Vercel rebuilt v0 to tackle the 90% problem: Connecting AI-generated code to existing production infrastructure, not prototypes (https://venturebeat.com/infrastructure/vercel-rebuilt-v0-to-tackle-the-90-problem-connecting-ai-generated-code-to). The vibe-to-production pipeline will be fascinating to watch in 2026. How do you build it right the first time, or harden on the way to deployment?
[blog] Beyond Prompt Engineering: Using Agent Skills in Gemini CLI (https://medium.com/google-cloud/beyond-prompt-engineering-using-agent-skills-in-gemini-cli-04d9af3cda21). Excellent post that shows off a very important scenario: feeding up-to-date guidance and info to your agent.
[blog] Here’s how to tune into the Winter Olympics with Google (https://blog.google/products-and-platforms/products/search/winter-olympics-2026/). I’m more of a Summer Olympics person, but there’s always something compelling in any of these games. Following along on Youtube, Search, and Maps.
[blog] Is AI Disrupting Product Development? (https://itamargilad.com/ai-disruption/) I liked the table in here that showed PM activities and where AI would have a big impact.
[article] 9 Trends Shaping Work in 2026 and Beyond (https://hbr.org/2026/02/9-trends-shaping-work-in-2026-and-beyond). All these are quite interesting to me, and not the typical low-effort lists I see on this topic.
[blog] Predictive Analytics Reimagined with BigQuery Conversational Analytics (https://medium.com/google-cloud/predictive-analytics-reimagined-with-bigquery-conversational-analytics-e8049a2c6173). If you can access the data, you can now get answers from it. That’s a wild shift from even a few months ago.
[article] Snowflake debuts Cortex Code, an AI agent that understands enterprise data context (https://www.infoworld.com/article/4126224/snowflake-debuts-cortex-code-an-ai-agent-that-understands-enterprise-data-context.html). Sense-making products will be all the rage this year.
[article] OpenAI launches new macOS app for agentic coding (https://techcrunch.com/2026/02/02/openai-launches-new-macos-app-for-agentic-coding/). Makes sense. Everyone wants to have an IDE-like thing right now!
[blog] Hear more about interactive world models in our latest podcast (https://blog.google/innovation-and-ai/technology/ai/release-notes-podcast-project-genie/). World models are WILD. Listen and watch this podcast episode to see what Project Genie is already capable of.
[blog] What We Got Right with Cloud Foundry (https://www.syntasso.io/post/what-we-got-right-with-cloud-foundry). This platform was absolutely ahead of its time. Cloud Foundry got so many things right. And also adapted too slowly to what people wanted next!
[blog] Towards a science of scaling agent systems: When and why agent systems work (https://research.google/blog/towards-a-science-of-scaling-agent-systems-when-and-why-agent-systems-work/). This links to an interesting paper that shows multi-agent systems performing well on parallel tasks, but degrading on sequential ones.
[blog] Cloud CISO Perspectives: 5 top CISO priorities in 2026 (https://cloud.google.com/blog/products/identity-security/cloud-ciso-perspectives-5-top-ciso-priorities-in-2026/). Good list and worthwhile areas to ensure your security team focuses on.
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