Four people working on laptops in a dark, futuristic room bathed in blue neon light, surrounded by digital data and network patterns, with a large phone display showing a chat interface and a prominent "AI" symbol.

Whenever there is a gathering, we engineers have to bring AI into the conversation, and with that, there is always a questionable concern in everyone’s mind—what if AI is really going to render software engineering obsolete or less desirable, and if people who are recently graduating still have a promising career if they were to look for software engineering roles. I cannot deny that this theme has been playing a lot on my mind too, and while I do enjoy spending my weekends listening to the latest podcasts on what experts have to say, I have to admit there is currently an overdose of social media every time you search for AI. So, I thought it’s probably best to explore it in my own way. Last weekend, thanks to my mum who is visiting me, I didn’t have to juggle childcare duties. I decided to do my own private hackathon using two different use cases with a code assist tool, Cursor AI, this time. 1. The first use case, which my team and I often work on and hence is a known technology for us, focused on curating Infrastructure as Code using Terraform and using provided and product documentation to help simplify infrastructure provisioning. 2. The second use case was completely new and uncharted territory for me. I wanted to challenge myself to build a mobile app from scratch where I could create a simple chat interface backed by a known LLM model, which would engage with users’ preferences and current work status. It would then connect users with peers and mentors who are not See more