What a fun day talking to developers here in India. We had 1000+ doing hands-on workshops after a round of keynote talks. I might have learned as much as they did.
[blog] Gemini 3.1 Pro: A smarter model for your most complex tasks. A major leap on reasoning for complex problems! Pretty excellent benchmarks here.
[blog] Powering the next generation of agents with Google Cloud databases. This is the way. Don’t “hope” that the agent knows how to properly work with your systems. Use grounding. In this case, managed MCP servers for all our databases and documentation.
[blog] WebMCP – a much needed way to make agents play with rather than against the web. Don’t sleep on this. Every surface needs to be made agent-ready.
[article] AI Is Not a Library: Designing for Nondeterministic Dependencies. These are the types of things that human architects need to be aware of, and factoring into their decisions.
[article] How does development environment setup affect developer experience and productivity? This might be a secret productivity-killer among your technical staff. How much toil is there in setting up dev environments?
[blog] Your guide to Provisioned Throughput (PT) on Vertex AI. If you’re seriously using AI models, you want guarantees that the capacity is there when you need it. We’ve extended PT to more models, with great terms.
[article] A Guide to Which AI to Use in the Agentic Era. Life was easier in the old days of 2024. We just had chatbots. Now we’ve got agents (among other things) and the choice of model isn’t any easier.
[blog] Upskilling Antigravity for the Gemini API. This is a great justification for using Agent Skills. Make it easier to give models the correct context.
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Richard Seroter's Architecture Musings 
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