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.
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.
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.
A multi-agent pattern where many lightweight agents work on sub-tasks simultaneously without a central orchestrator.
Running a coding agent in a mode where it completes entire features without pausing for human approval.
A development workflow where AI agents write, test, and iterate on code autonomously.

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