When does AI actually make sense in your application? What does the integration code look like? Explore these questions and more at the Developer Excellence Workshop hosted by the Software Development Special Interest Group (SD-SIG).

In this workshop, you will explore when AI makes sense for your application, and what the integration code looks like.

Cornell developers interested in practical AI integration will ideally have a basic understanding of API calls, but prior knowledge is not required. If you didn't attend the October 30 workshop, this one will catch you up on the essentials.

This workshop isn't about finding places to use AI because it's trendy, it's about making informed technical decisions.

Participants will examine a realistic scenario: analyzing dorm room inspection data to identify underlying patterns and recurring issues. Using a fictitious dataset from a fictitious school, everyone will walk through the decision process:

What problems can AI solve that would be tedious or impractical to code manually? When is traditional code actually the better choice? What value does AI provide in this specific case, if any? Once participants have decided if AI makes sense, the workshop will highlight a simple proof of concept web application, including:

How to connect to the Cornell AI Gateway from your code using your API key.Constructing effective prompts that send relevant data to an LLM. Processing and displaying the results in a useful format. Access the Zoom link, full agenda, or get an ICS file to add this event to your calendar on the SD-SIG meeting page (sign-in required). You can learn more about the group there as well.