Model Context Protocol (MCP) explained for developers: learn MCP architecture, servers, clients, tools, resources, prompts, security risks, examples, and beginner steps.

Google's Gemini 3.5 Flash now includes a public-preview Computer Use tool for browser, mobile and desktop agents, giving platform teams a new route for UI automation while raising sandboxing, approval and audit requirements.

Microsoft's in-house MAI-Code-1-Flash model is now generally available for GitHub Copilot Business and Enterprise, putting model choice, policy controls and usage-based AI coding costs on enterprise DevOps roadmaps.

HP is scaling OpenAI Frontier across telemetry, productivity, customer experience, and software development—testing enterprise agent governance at scale.

Z.ai's GLM-5.2 is drawing new scrutiny after independent security testing and fresh reporting highlighted its coding and vulnerability-detection performance. For DevSecOps teams, the news is a prompt to evaluate open-weight models with stronger governance, not a reason to replace security tooling overnight.

Meta is bringing Virtue AI security researchers into its Superintelligence Labs, a move that turns agent safety from a model-lab topic into a platform engineering issue for teams deploying tool-using AI.

Google Cloud’s VPC Service Controls update lets teams apply perimeter rules to AI agent identities and MCP tool calls, giving platform teams a clearer control plane for production agents.

A practical beginner-friendly guide to vector databases, embeddings, pgvector, Pinecone, indexing, RAG architecture, and how to choose the right vector store for AI applications.

Reported limits on OpenAI GPT-5.6 early access turn frontier model launches into an operational governance issue for DevOps, cloud and platform teams.