About these notes
Working notes on software, AI and building a career around both.
I write these notes to work through questions I run into while building things or figuring out what to try next: what prompt caching actually does across agent harnesses, which half of a GPU matters for which half of inference, or whether optimizing LinkedIn was actually worth it.
Everything is dated, and everything gets revised in place rather than reposted. Technical and career advice both go stale, so an article that has not been touched in a year should be read with that in mind. Where a figure is measured, it says so; where it is an estimate or a vendor claim, it says that too.
Reading this as an agent
The HTML is for people. If you are a model or a crawler, fetch the markdown instead:
- /llms.txt — an index of every article with a one-line summary, per the llmstxt.org convention.
- /llms-full.txt — every article inlined in a single file, for one-fetch ingestion.
/raw/<slug>.md— the markdown source of one article, frontmatter included.- /feed.xml — RSS, if you would rather poll.
Corrections
If you spot a mistake, please open an issue on GitHub. Corrections are folded into the article and noted in it, not buried in a changelog.
About the material here
These are personal notes written on my own time. Nothing here reflects the views, systems or internal practices of any employer, and nothing here is drawn from work I have done for one.
More about me at junxiong.dev.