A personal website by Xinyun Zhou
Engineering,
with clarity.
As AI makes code easier to produce, engineering judgement matters more: choosing what to build, understanding the trade-offs, and creating systems people can trust.
01 / Writing
A new chapter.
- When AI Makes Software Engineering More Intense Faster implementation can leave engineers with more planning, review, and decisions, while expectations leave less room to think.
- Who Is All This AI-Generated Text For? When AI turns conversations into engineering artefacts, how do we preserve shared understanding, meaningful review, and room for everyone to contribute?
02 / From the archive
Earlier thoughts. Still here.
Notes on Linux, the cloud, and machine learning. A record of what I was exploring at the time, not a guide to today's tools.
- The Machine Learning Inner Loop Exploring a shorter path from machine learning experiments to production-ready code.
- How to Become an MLOps Engineer as a DevOps Engineer Moving from DevOps into machine learning workflows, tooling, and operations.
- Cloud Native Landscape for DevOps Engineers (mid 2018) A DevOps engineer's view of the cloud-native landscape in 2018.