AI Agent — An AI system that can autonomously plan and execute multi-step tasks, using tools and making decisions to achieve a goal.
An AI agent is an AI system capable of taking a high-level goal and autonomously breaking it down into steps, using tools (like web search, code execution, file access), and iterating until the goal is achieved. In the coding context, AI agents like Devin, Claude Code, and Cursor's agent mode can write code, run tests, fix bugs, and deploy applications—all without constant human intervention. They represent a significant evolution beyond simple code completion.
An AI agent is an AI system that can autonomously plan and complete multi-step tasks. Unlike a simple chatbot, agents can use tools, browse the web, write and execute code, and iterate on results.
Leading AI coding agents include Devin (Cognition), Claude Code (Anthropic), Cursor's agent mode, GitHub Copilot's agent mode, Manus, and Cline. Each has different strengths and autonomy levels.
System prompts for AI agents are more complex than for simple chatbots. They define the agent's capabilities, available tools, decision-making frameworks, safety constraints, and how to handle errors and edge cases.
Large Language Model (LLM)
A type of AI model trained on massive amounts of text data, capable of understanding and generating human-like text across a wide range of tasks.
System Prompt
A set of instructions given to an AI model before the user conversation begins, shaping its behavior, tone, and capabilities.
Model Context Protocol (MCP)
An open standard by Anthropic that enables AI models to connect with external tools, data sources, and services through a unified interface.
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