Tagged articles

Prompt Injection Defense

2 articles · Page 1 of 1
AI Large Model Application Practice
AI Large Model Application Practice
Jul 13, 2026 · Artificial Intelligence

20 Essential Agent Engineering Concepts for 2026: Making Agents Practical, Scalable, and Deployable

The article breaks down ten core engineering pillars for production‑grade AI agents—including tool calling with MCP, reusable skills, persistent memory, multi‑agent collaboration, workflow orchestration, hooks, observability, sandboxing, prompt‑injection defense, and the role of forward‑deployed engineers—to help turn demo agents into reliable, enterprise‑ready systems.

Agent EngineeringMulti-AgentObservability
0 likes · 21 min read
20 Essential Agent Engineering Concepts for 2026: Making Agents Practical, Scalable, and Deployable
JavaGuide
JavaGuide
Apr 14, 2026 · Artificial Intelligence

Interview Question: How to Build Prompt Engineering for an Agent and Defend Against Malicious Prompt Injection

The article explains how industrial‑grade AI agents require structured prompt engineering, chain‑of‑thought reasoning, task decomposition, and a three‑layer defense (sandbox, prompt isolation, and human approval) to prevent prompt‑injection attacks, while also covering context engineering, retrieval‑augmented generation, and tool design best practices.

Agent designContext EngineeringLLM security
0 likes · 23 min read
Interview Question: How to Build Prompt Engineering for an Agent and Defend Against Malicious Prompt Injection