Jinwoo Je | Portfolio

I invested significant time learning abstracted cloud products. While I've used AWS for work and personal projects, setup and configuration time became a bottleneck. For personal projects, I'm moving to Vercel ( frontend), Supabase (database), Railway (Python backend), and Clerk (authentication). Their strong free tiers and pricing models make small projects more cost-efficient than AWS.
I'm increasingly recognizing the competitive advantage of maintaining a bird's-eye view—understanding how systems connect and grasping the macro landscape. While deep technical focus is valuable, regularly zooming out is equally important. This realization came from being narrowly focused on Python for data wrangling and modeling at work, then forcing it into full-stack projects where it wasn't optimal. Since learning new tech is now cheap, I've switched to JavaScript with Next.js and Rust for WASM engines.
With growing AI reliance across models, code, documentation, and workflows, ensuring quality is critical. Most output is now generated without me writing code directly. My interaction with AI resembles working with a team of experts as a PMO: I deeply understand the problem, research the problem space, distill required components, and build comprehensive prompts with context, approach, and tooling specifications.
I'm observing a value generation shift. Coding skills—once a moat or bottleneck—are becoming commoditized. Subject matter expertise, business acumen, product sense, and critical thinking now have higher leverage than pure technical skills.