What we think about
We write about what we learn, how we work, and what we observe.
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Architect 66 posts found in engineering
When the inference floor moved in twelve days
Four Chinese labs shipped open-weights coding models within twelve days. The question is no longer whether they catch up. It is what the new floor changes.
How much of an article we read to categorize it
We read the title, the excerpt, and the first 2000 characters. The size of that window is doing more work than it looks like it is doing.
Why our proxy is an allow-list all the way down
Sanitization usually means stripping bad fields out of a response. We do it the other way. We build the response from a list of fields we trust.
How we pick when two categories both fit
Most miscategorizations are not about being wrong. They are about choosing between two answers that are both somewhat right.
Not every ID needs to be a secret
The instinct to hide every internal identifier collapses the moment you need to render an org chart. We thought about which IDs leak something and which do not.
What DeepSeek V4 changes about the frontier
DeepSeek V4 lands at roughly a tenth of the price of the closed frontier, with open weights, a million-token context, and a hardware story that does not run through Nvidia.
Why we build the loading state first
Loading states are usually the last thing a frontend team gets to. Building them first commits us to the layout before we have any data to lean on.
Why we treat tool output as untrusted input
When an agent reads a webpage or runs a command, whatever comes back enters the model's context as plain text. The model cannot tell instructions from data.
Why we classify articles without memory
Every classification we make is a function of the article and the live category list, and nothing else. We considered adding memory. We chose not to.