The panelists who have organized AI hackathons acknowledged that these events are different from non-AI hackathons. With hackathons that don’t focus on AI, the goals tend to focus on encouraging developers to build enterprise-ready use cases.
However, with AI hackathons, the goals are largely focused on experimentation and using it as an opportunity to gain deeper insight into how developers are using these technologies.
Karen: “The prompts for our hackathon this year are around making developers' lives better through tools that incorporate AI.
The other thing that's driving this internally is a real desire for knowledge from our product team. As AI is making its way potentially into our developer platform, we want to understand what extension points developers are asking for and what are the access points in our APIs that developers want to have.”
Chukwuemeka also pointed out kenya telegram screening that the nature of hackathons is changing and that it feels like new technologies are emerging every day.
Chukwuemeka: “[In previous hackathons], you had to submit a model or something like that. Now, I don't even know what people are going to be submitting because there are so many new skill sets coming up. Prompt engineering is now a thing, for example.’
For Okta, he said it’s a balancing act to find new solutions that some larger enterprises might be hesitant to experiment with.
Chukwuemeka: “Because we are in the business of identity and access management for these companies–and we're trying to evangelize the concept of enterprise readiness amongst these developers–we are looking to figure out how can you take an AI solution that you created and make it enterprise-ready.
So we're putting that out there to see how developers react to that and if they are up to making that happen.”