What is Agentic AI? The 4-Step Loop Every Developer Needs to Understand

Description

You give it a goal. It figures out the steps itself. That's the difference between a regular AI tool and an agent — and it changes everything about how software gets built and tested. In this episode of Bits & Bytes, we break down exactly how agentic AI works: the four-step loop that powers every agent, the components under the hood, and which frameworks are actually worth learning. 🤖 What you'll learn: → What makes an AI "agentic" vs just a chatbot → Perceive → Think → Act → Observe — the loop that runs every agent → Real agent workflows: QA agents, code agents (Claude Code), test automation → LangChain, CrewAI, AutoGen, Claude Tool Use — which one to start with → What agentic AI means for developers, QA engineers, and architects right now This is the foundation. If you're building anything with AI in 2025, you need this. ─────────────────────────── 🎓 Free interactive modules → https://aimantras.co/bnb Live AI/ML cohort training → https://aimantras.co ─────────────────────────── #AgenticAI #AIAgents #LangChain #CrewAI #BitsAndBytes #AiMantras