Your business processes are tribal knowledge passed down through email chains and hallway conversations. Before an AI can handle expense reports or customer inquiries autonomously, you need to document, standardize, and make machine-readable every workflow. That’s a multi-year project. 🔗 Your employees are already AI-augmented. Your enterprise isn’t. Here’s why that matters

”Prioritize sovereignty where it matters most. Not every workload requires sovereign infrastructure — and overengineering can be costly and inefficient. Focus on areas where sovereignty is critical: AI workloads, sensitive data, and operations in regulated industries. Use edge computing to process data locally and reduce compliance risks. Localized cloud options, including sovereign clouds and regional vendors, can help meet legal requirements without compromising agility. A surgical approach to sovereignty ensures strategic alignment and cost-effectiveness.

For those who prefer Kubernetes instead of a PaaS, there are good options that your organization likely already has. 🔗 Empowering Platform Engineers with native Kubernetes Multi-Cluster Management in VMware Cloud Foundation

As the kids say: 👀 ”This repository provides Authorization support for Spring AI integrations with the Model Context Protocol (MCP). It covers both MCP Clients, MCP Servers, and Spring Authorization Server.” 🔗 spring-ai-community/mcp-security: Spring Security Configuration for MCP

‘JFrog Fly is the company’s agentic developer platform and an MCP server that works with multiple IDEs, including VS Code and Cursor. Integrated with GitHub and observability, Fly provides a chat interface that allows users to query, promote, and roll back existing releases based on specifics of the code (e.g., “Which features were added to this release?” or “Deploy the release that added styling to the user field”). Fly includes an audacious reimagining of the software development process, making versioning automatic and version names obsolete.

Move fast and leak things. 🔗 Senate report accuses DOGE of flouting law, oversight

The AI as a junior engineer theory. 🔗 The AI coding trap

Generate and execute code in Claude’s web app, also pull from GitHub and package managers. What else can you have it do and install in the containers(?) it’s running? 🔗 Claude Sonnet 4.5 is probably the “best coding model in the world” (at least for now)

Ben Thompson recently noted that these prices are spiking, and the AI companies are about to get blamed for it. 🔗 How AI Data Centers Are Sending Your Power Bill Soaring

Others doing D&D with AI. Looks more structured than what I piddle around with. 🔗 The D&D Blueprint: How Role-Playing Engines Can Guide Next-Gen AI