Most professionals encounter AI as a chatbot that answers questions. While better prompting improves those interactions, the larger shift underway is toward agents that can automate parts of our work. The practical path to that future begins by embedding AI directly into the environments where work already happens.

This session demonstrates what that transition looks like in practice. Using ChatGPT and Claude inside tools like VSCode and Xcode, this session demonstrates how AI can help navigate, restructure, and extend complex repositories of information. These tools also accelerate the creation of small utilities that solve practical problems and reduce friction in everyday workflows. Rather than focusing on isolated prompts or theoretical workflows, the session walks through realistic examples drawn from the development of the 100 Days of Bioinformatics project and the creation and refinement of a kanban board utility.

Attendees will leave with a practical understanding of how embedding AI into everyday development and documentation workflows helps bridge the gap between chatbot experimentation and the agent-assisted systems organizations are beginning to adopt.