AI want to complete a task, but you want a complete solution
Optimization 1: Short-Circuit Early Exit
Optimization 2: Optimized Result Merging
Optimization 3: Column Projection
It is a list of my favorite music. I will update it from time to time.
| Date | Name | Store | Price per 100g | Total Weight | Total Price | Notes |
|---|---|---|---|---|---|---|
| 2026-01-18 | (냉동) 하림 IFF 닭안심 | 롯데마트 제타플렉스 서울역점 | 989 원 | 900g | 8,900 원 |
My highights
Engineers optimize for code quality. Managers optimize for human potential. These are fundamentally different skill sets.
Teams don’t scale through individual brilliance. They scale through collective momentum.
The engineers who actually multiplied output never looked like rockstars. They wrote boring, obvious code that anyone could maintain. They approved pull requests that were good enough, not perfect. They spent time pairing with people who were stuck instead of cranking out features alone.
We don’t. Because speed is how you get to quality.
Fault-tolerance is hard, and in the case of metastable failures, maybe next-to-impossible and/or expensive. I have a hunch that we may not be able to avoid metastable failures entirely in large, non-trivial systems that are also economical to operate, because of these “forced” actions that systems sometimes have to take. However, the three strategies above remain effective mitigation approaches. Just replace “avoid” with “avoid as much as possible.”
A catastrophic accident has struck the Mars outpost. Communication with Earth is completely severed. Only a handful of survivors remain.
Marsettler is a simulation where players shape the story of these survivors. Your journey becomes a narrative—a story worth sharing.