Agents
Software that uses a large language model to reason about goals, break them into steps, call external tools, and act on results without human intervention at each step.
Software that uses a large language model to reason about goals, break them into steps, call external tools, and act on results without human intervention at each step. Agents differ from chatbots because they maintain a plan and execute it across multiple turns.
Example
In practice, developers reach for AI Agent when they need the capability described above as part of an AI feature or workflow.
Hands-on guides, comparisons, and tutorials that cover Agents.
FAQ
Software that uses a large language model to reason about goals, break them into steps, call external tools, and act on results without human intervention at each step.
AI Agent sits in the Agents part of the AI stack. Understanding it helps you make better decisions when building, debugging, and shipping AI features.
Developers Digest publishes tutorials and videos that cover Agents topics including AI Agent. Check the blog and YouTube channel for hands-on walkthroughs.
Related
A multi-agent pattern where many lightweight agents work on sub-tasks simultaneously without a central orchestrator.
A multi-agent mechanism where one agent passes control of the conversation to a more specialized agent, rather than calling it as a subroutine.
Evaluating the sequence of steps an agent took, including its messages and tool calls, rather than only its final answer.

New tutorials, open-source projects, and deep dives on coding agents - delivered weekly.