Articles
Mostly about building products, healthcare tech, and lessons learned along the way.
Mostly about building products, healthcare tech, and lessons learned along the way.
Older posts from the archive.

v0 just proved that English plus AI can replace traditional web development for most apps. That changes what it means to be a developer. An honest take on what shifts, what doesn't, and what to do about it.

RLHF is the right idea with the wrong implementation cost for most teams. DPO flips the math. How to align a healthcare AI model on clinician feedback without burning a month on reward model engineering.

Raw intelligence is abundant and cheap. The engineers thriving in the AI era are the ones with agency: setting goals, acting under uncertainty, self-correcting. How I changed my interview process to find them.

I stopped writing most of my own code. What changed, what I delegated to AI, what I found it can't do, and why the hardest part of the transition had nothing to do with technology.

Your LLM system works great in demos and degrades in production. The culprit is almost never the model. It's what you're feeding it. How to diagnose and fix context rot before it kills your product.

Test-time compute is the most underused lever in production AI right now. What chain-of-thought, best-of-N sampling, and process reward models mean for practitioners, and when to use them instead of grabbing a bigger model.

I went async-first with my remote engineering team. Productivity went up. Culture took a hit. What changed, what broke, and the specific practices that made it worth it.

Tool selection in healthcare AI is a compliance problem, not a productivity one. Most AI tools that sounded great in 2023 are dead or deprecated. The framework I use for betting on the right ones.

BAIR researchers discovered that just 5% autonomous vehicle penetration can smooth all highway traffic, with no central coordination. That finding reshapes how I think about building multi-agent AI systems.