I waded a bit into the “MCP or not” debate by running some experiments to see how much MCP costs my custom-built agent. If you complement with agent skills, the answer is “not too much.”
[blog] Become Builders, Not Coders. This is more of a directive versus suggestion at this point. What has to change and how do you do it? Here’s a post with advice.
[blog] Balancing AI tensions: Moving from AI adoption to effective SDLC use. The DORA team used some fresh research to understand how teams are using AI, where they get value, and stumble. The suggestions are very good.
[blog] Why context is the missing link in AI data security. These Google Cloud tools are really impressive at identifying and masking sensitive info. Now, with better context classifiers.
[blog] Run Karpathy’s autoresearch on a Google serverless stack for $2/hour. With the exception of doing massive training jobs, most of us can try out nearly anything with AI for a reasonable cost. I like Karl’s example here.
[article] Why the World Still Runs on SAP. Big ERP, CRM, and service management platforms aren’t going anywhere. But it’s going to get easier to set them up, use them, and operate them.
[article] You’re Not Paid to Write Code. I recognize that I’ve shared a lot of posts on this topic. But it’s important. We’re not just adding tools to the mix; we’re changing identities and habits. That takes repetitive reminders and motivation.
[blog] When to use WebMCP and MCP. Pay attention to WebMCP. It might turn out to be something fairly important.
[blog] BigQuery Studio is more useful than ever, with enhanced Gemini assistant. I like this surface, and it’s made data analytics so much simpler for experts and novices.
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Richard Seroter's Architecture Musings 
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