About

I’m Aiden - an aerospace engineering student at KAIST working at the intersection of ML and physics-constrained optimization.

By day I study PINNs and optimal control. By night I build code intelligence tools for AI agents and argue about whether string matching is still the right edit mechanism.

This blog is where I document opinionated takes on agentic AI: how scaffolded models actually work versus how they’re hyped, why boring reliable tooling beats clever fragile tooling, and where this whole field is actually heading versus where Reddit thinks it’s heading.

Background that shapes my perspective:

• Controls + optimization - my academic work gives me a dynamical systems lens on agent architectures. Recursive delegation and state management under constraints is not new to me; it is literally what I study, just in physical rather than informational state spaces.
• Practitioner - I build agent tooling. I have hit the failure modes. When I say an approach does not work, it is because I have watched it break.
• Hype-skeptical - I read the papers, not the Reddit comments. If the authors say “future work,” I am not going to tell you it is solved.

Find me on GitHub.