Agentic AI
6 guides tagged “Agentic AI”.
- Securing AI Agents and LLM Features: The Attack Surface You Just Added Prompt injection, MCP servers, non-human identities, and hallucinated packages — every security concept that applies once your app has an LLM feature or an AI agent. With linked guides.
- What Is an AI Agent? An AI agent is a program that uses a language model to decide and act — calling tools, reading files, and iterating until a task is done. Learn how they differ from chatbots.
- How to Coordinate Multiple AI Coding Agents on One Codebase Running multiple AI agents in parallel sounds fast, but without coordination they overwrite each other's work. Learn six patterns that keep parallel agents safe: spec-driven decomposition, git worktrees, role splits, model routing, verification gates, and sequential merges.
- What Is Multi-Agent Coding (and Why Do Agents Conflict With Each Other)? Multi-agent coding runs several AI agents on one codebase in parallel — and they step on each other's changes. Learn the failure modes and how to manage them.
- What Is the "Lethal Trifecta" for AI Agents? The 'lethal trifecta' — private data, untrusted content, and external communication — is the combination that makes AI agents dangerous. Learn the concept.
- What Is Agentic AI Security? Agentic AI security governs AI systems that act autonomously with tools and credentials. Learn the risks and the controls that keep agents contained.