Tag: agent governance
The Missing Runtime for Long-Running AI Agents
Anuj Kapoor | | agent governance, agent orchestration, agent runtime, AI agents, AI observability, AI resiliency, Azure AI Foundry, Azure Durable Functions, devops, distributed systems, durable AI agents, durable workflows, Enterprise AI, human-in-the-loop, long-running AI agents, multi-agent systems, platform engineering, stateful AI, workflow orchestrationEnterprise AI agents need more than stronger models. They need durable execution environments that can coordinate multi-step workflows, survive failures, pause for human review and resume reliably after disconnects or delays. AI ...
Microsoft Foundry Tackles the AI Agent Tool Problem Nobody Talks About
Tom Smith | | agent governance, AI agents, API Orchestration, Azure AI Search, Developer Friction, Enterprise AI Infrastructure., Foundry Toolboxes, Microsoft Entra, Microsoft Foundry, Model Context Protocol MCP, Public Preview, Tool WiringTool sprawl is quietly becoming one of the biggest headaches in enterprise AI development. Microsoft thinks it has a fix ...
Gemini CLI Plan Mode Separates Thinking From Doing — and Makes Read-Only the Default
Tom Smith | | agent governance, ask_user, auditability, codebase investigation, Conductor, developer approval, Gemini 3.1 Pro, Gemini CLI, MCP read-only, model routing, orchestration, plan mode, read-only, research-first, risk managementGoogle’s Gemini CLI Plan Mode enforces read-only research-first workflows—using higher-reasoning models for strategy, ask_user prompts for clarification, and read-only MCP integration—so agents propose vetted implementation plans before code changes ...
