AI agents use large language models and additional algorithms to autonomously perform tasks, enhancing capabilities like software development and booking plane tickets. They can plan, use memory, and query APIs, making them versatile tools to minimize mundane tasks for developers. Ongoing challenges include predicting AI behavior and explaining outputs. Tools like GitHub Copilot Workspace are evolving to make developers more productive by enabling collaboration with multi-agent systems that handle complex tasks.
Table of contents
What are AI agents and agentic AI?What are the different types of AI agents?Common technical challenges with AI agents todayHow we think about AI agents at GitHubWhy this matters (and some final thoughts)Tags:Written bySort: