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Cillers Hackathon Podcast - Daniel Ung
Meet Daniel Ung, Full-Stack Intern at SAP
Daniel is a full-stack intern at SAP and a member of the Hackathon Team at SJSU Computer Science Club.
In this episode, we explore how a hackathon profoundly impacted Daniel's life. The energy and camaraderie at these events inspired him to attend countless hackathons. We discuss the vibrant hackathon culture in the Bay Area, focusing on Berkeley's annual large-scale event, which draws over 1,000 participants. Daniel also shares insights from organizing his first hackathon. If you're looking to do the same at your university, we cover some major challenges and strategies to overcome them.
Lastly, we dive into how to accelerate coding with AI. Daniel highlights common pitfalls, emphasizing the importance of knowing when AI tools can be helpful. While AI can expedite writing boilerplate code, it requires caution for more complex issues. Blindly copying and pasting code may seem fast but can lead to later complications. Understanding the core problem is crucial to maintaining productivity.
Link: https://hackberkeley.org/#sponsors
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By Per LangeMeet Daniel Ung, Full-Stack Intern at SAP
Daniel is a full-stack intern at SAP and a member of the Hackathon Team at SJSU Computer Science Club.
In this episode, we explore how a hackathon profoundly impacted Daniel's life. The energy and camaraderie at these events inspired him to attend countless hackathons. We discuss the vibrant hackathon culture in the Bay Area, focusing on Berkeley's annual large-scale event, which draws over 1,000 participants. Daniel also shares insights from organizing his first hackathon. If you're looking to do the same at your university, we cover some major challenges and strategies to overcome them.
Lastly, we dive into how to accelerate coding with AI. Daniel highlights common pitfalls, emphasizing the importance of knowing when AI tools can be helpful. While AI can expedite writing boilerplate code, it requires caution for more complex issues. Blindly copying and pasting code may seem fast but can lead to later complications. Understanding the core problem is crucial to maintaining productivity.
Link: https://hackberkeley.org/#sponsors