AI agents get talked about a lot, but most explanations stay abstract. Here's a short, practical...
Agents work via context engineering (five-layer stack: context, memory, MCP tools, skills, loop), not prompt engineering—configure once, reuse infinitely. For tech managers: set up agents.md + memory + MCP tools once, then run simple requests with consistent results without re-engineering prompts each time.
AI agents get talked about a lot, but most explanations stay abstract. Here's a short, practical breakdown of what actually makes an agent work — plus a simple example.
Chat vs. Agent
Chat model → question → answer (you do the work)
Agent → goal → result (it plans + executes for you)
Chat: You ask ──> Model answers ──> You act
In this article, you will learn how prompt engineering changes fundamentally when applied to agentic AI systems, and what…
In Part 1, we explored why modern AI systems need more than carefully written prompts. In Part 2, we...
Most developers who tried an AI coding agent in 2023 or 2024 and bounced off it are still thinking...
Prompt engineering taught you what to write. Context engineering teaches you what the model sees, and why that is the difference…
An AI agent looks like magic in a demo and like plumbing in production. Underneath the branding, it...
Since the early days of GenAI, when ChatGPT launched in late 2022, we began using prompt engineering...
