What is an AI Agent? - Definition & Meaning
An AI agent is an autonomous software system that performs tasks on behalf of a user using artificial intelligence. Learn how AI agents work.
Definition
An AI agent is a software system that can autonomously execute tasks using artificial intelligence. Unlike traditional automation, an AI agent can understand context, make decisions, and handle complex workflows without step-by-step instructions.
Technical Explanation
AI agents typically operate on large language models (LLMs) driven by prompt engineering and tool-use protocols such as the Model Context Protocol (MCP). They receive a goal, analyze available context, and invoke tools to perform subtasks. Agents can work iteratively: they evaluate intermediate results and adjust their approach. In software development environments, AI agents communicate via APIs with version control systems, ticket platforms, and IDEs. Security is ensured through permission systems and human-in-the-loop validation.
How Refront Uses This
Refront deploys AI agents through the Cursor MCP integration to automatically analyze and resolve tickets. The agent reads the ticket description, generates a plan, implements code changes, and automatically logs time spent. Additionally, Refront uses AI agents for generating quotes and summarizing client communications.
Examples
- •An AI agent receives a bug ticket, analyzes the codebase, and proposes a fix for the developer to review.
- •A quote agent automatically generates a project proposal based on a client conversation in Slack.
- •A triage agent categorizes incoming support tickets and assigns them to the appropriate team member.
Related Terms
Frequently Asked Questions
What is the difference between an AI agent and a chatbot?
A chatbot responds to direct questions in a conversation, while an AI agent can autonomously execute tasks, invoke tools, and handle multi-step processes without continuous human input.
Are AI agents safe to use in software development?
Yes, provided they are deployed with proper permissions and human-in-the-loop validation. Refront ensures AI agents operate only within defined boundaries and that every action is traceable.
Can an AI agent write code independently?
AI agents can generate, modify, and test code, but best practice is to have a human review before changes are merged to production.
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