Stack Debate

How to Build AI Agent Approval Workflows Without Slowing Down the Business?

AI agents are moving from demos into real business processes, and that creates a new kind of operational problem. Teams want faster execution, but leaders still need confidence that sensitive actions, data access, and production changes happen with the right level of review. A weak approval pattern slows everything down.

How to Evaluate an MCP Server Before Using It?

Not all MCP servers are created equal, and the breadth of community-built options means quality varies considerably. Before pulling in an MCP server from a third-party repository, run through a quick evaluation checklist. Review the tool definitions the server exposes. Each tool should have a clear description, well-defined input schema, and a narrow scope.

How to Run Your First AI Red Team Exercise Without a Dedicated Security Research Team?

AI systems fail in ways that traditional software does not. A language model can generate accurate-sounding but completely fabricated information, follow manipulated instructions hidden inside a document it was asked to summarize, or reveal sensitive data from its context window when asked in just the right way. These are not hypothetical edge cases.

What Is MCP and Why Enterprises Should Be Paying Attention?

The Model Context Protocol (MCP) is an open standard introduced by Anthropic that defines how AI models communicate with external tools, data sources, and services. Think of it as a USB-C standard for AI integrations: instead of each AI application building its own bespoke connector to every tool, MCP provides a shared protocol that any compliant client or server can speak.

How to Pair AI Coding Tools with Engineering Discipline?

Establish an AI Code Policy Before You Need One The best time to create your team’s AI coding policy was six months ago. The second best time is now. A useful policy does not need to be long. It should answer: which AI tools are approved and under what conditions, what review steps apply specifically to AI-generated code, and what happens when AI-generated code touches security-sensitive logic.