잠깐, 에이전트 AI는 무엇입니까?

Developers are hearing a lot about agentic AI lately, that’s for certain. What’s less certain is what the term actually means and whether it’s A Thing you need to learn about. Is “agentic AI” just a buzzword, or is it the sea change it seems?

There’s no denying that “agentic AI” is a buzz-worthy term. But there is a “there” there. In this post, we’ll give you a big-picture overview of what AI agents are, what they can do, and how to think about them. This is a good place to start if you’re new to the notion of autonomous AI agents.

When we talk about AI agents or agentic AI, we’re not all talking about the same. As a recent TechCrunch piece by Maxwell Zeff and Kyle Wiggers put it, No one knows what the hell an AI agent is. Or, at least, not everyone can agree on a definition for what, exactly, an AI agent is or does, even as the industry grows increasingly bullish on the concept. The TechCrunch piece surveys the way titans like OpenAI, Anthropic, Google, and Microsoft describe agentic AI differently, highlighting the term’s plasticity. Much like the term “AI” itself, agentic AI is still coming into focus.

Caveats aside, agentic AI refers to autonomous AI systems that make decisions to achieve specific goals with minimal need for human oversight and intervention. Simply put: Generative AI creates content; agentic AI solves problems on a user’s behalf.

“The agentic AI system understands what the goal or vision of the user is and the context to the problem they are trying to solve,” AI expert Enver Cetin told the Harvard Business ReviewTDXHBRlack of trusthelp healthcare providers get paid for their workuse cases for agentic AItransform developer workflowstest complex code at scaleupgrading Java across their humongous codebasereview code and write pull requestsTDX