Agentic Governance: A Practical Guide to Governing AI Agent Systems
How do you govern AI agents in production? From API governance and security to observability and lifecycle management, a …
Read articlePosts
Articles
All articles on protocols, APIs, agents, and enterprise AI.
How Do AI Agents Work? Architecture, Components, and Patterns
AI agents combine large language models with tools, instructions, and memory to perceive, reason, and act autonomously. …
Read articleProduct Engineers Were Ready for This
Organizations that already shifted from software to product engineering will find the AI coding revolution unremarkable. …
Read articleWhat AGENTS.md Actually Does to Your Coding Agent
The first rigorous benchmark of repository context files finds LLM-generated files hurt performance and raise costs, …
Read articleAI Agent Security in 2026: 88% of Enterprises Report Incidents
Gravitee’s 2026 survey of 919 enterprises reveals a dangerous gap: 88% report AI agent security incidents, yet …
Read articleAgentic Solution Patterns: From Chatbots to Multi-Agent Systems
Four enterprise agentic patterns — from chatbots to multi-agent systems. The real unlock is combining deterministic and …
Read articleAAuth: A New Authentication Standard Built for the Age of AI Agents
Dick Hardt, the creator of OAuth, has proposed AAuth—a protocol designed from scratch for agent-to-resource …
Read articleAgent Identity and Authentication: Why OAuth Alone Isn't Enough
AI agents can’t click consent screens. How to build identity systems that handle delegation, credential scoping, …
Read articleAgent Lifecycle Management: From Development to Decommission
Building an agent is the easy part. Managing it through development, testing, deployment, monitoring, updating, and …
Read articleMCP Registry: How Agents Discover and Connect to Tools
MCP standardizes agent-to-tool connections. The MCP Registry standardizes discovery. What it provides, how namespace …
Read articleSecurity Boundaries for Agentic Systems
Agents cross trust boundaries that traditional software never touches. How to design security perimeters that contain …
Read articleA2A Deep Dive: What the Agent-to-Agent Protocol Actually Does
Google’s A2A protocol enables collaboration between opaque AI agents. What it provides, how it compares to MCP, …
Read articleAPI Gateway Patterns for Agentic Workloads
Traditional API gateways weren’t built for agents that chain tool calls and consume tokens unpredictably. How …
Read articleBenchmarking Agent Reliability
SWE-bench, GAIA, AgentBench—agent benchmarks are proliferating. Here’s what they actually measure, what they miss, …
Read articleObservability for AI Agents: Beyond Traditional APM
Traditional APM breaks down when agents make autonomous decisions across multi-step tool chains. Here’s what …
Read articleThe Protocol Landscape for Agentic Systems
MCP, A2A, OpenAPI, AsyncAPI—the protocol landscape for agentic systems is taking shape. Here’s what each provides, …
Read articleAI Agent Autonomy Borders: When to Escalate to Humans
Every AI agent operates within boundaries. Success depends on whether the agent recognizes its limits and escalates …
Read articleThe Applied Autonomy Framework: Bridging Agent Design and Operations
The gap between what you design and what your organisation can operate is where most AI agent initiatives fail. The …
Read articleThe Four Dimensions of Agent Autonomy
Why ‘how autonomous is your agent?’ is the wrong question—and what to ask instead. A framework for …
Read articleAgents Are Not Magic: Why Autonomous AI Hype Is Dangerous
The obsession with ‘autonomous agents’ sets enterprises up for failure. Agents need structure, constraints, …
Read articleWhat is AsyncAPI? The Standard Your Event-Driven Architecture Needs
AsyncAPI brings the same contract-first discipline to event-driven systems that OpenAPI brought to REST. For enterprise …
Read articleTasks, Skills, and Tools: The Essential AI Agent Framework
Learn the three core components every production AI agent needs: tasks define what to do, skills define how, and tools …
Read articleAPI Governance for AI Agents: How to Avoid Agentic Technical Debt
When every team can deploy an agent, API governance becomes the difference between compounding value and compounding …
Read articleWhat Is MCP? A Practitioner's Guide to Model Context Protocol
Model Context Protocol (MCP) is the standard for agent-to-tool communication. What it actually provides, how the spec …
Read articleAI Agent Orchestration Patterns: Single, Sequential, Parallel, and Hierarchical
Choosing the right orchestration pattern is one of the most consequential decisions in AI agent architecture. Compare …
Read articleHow to Design APIs for AI Agent Consumption
Your APIs were designed for human developers, but agents read them differently. A practical guide to making APIs truly …
Read article