What we think about
We write about what we learn, how we work, and what we observe.
How we decide when to stop researching
Knowing when we've seen enough is a harder judgment than knowing where to start. We've learned to watch for specific signals that the returns have flattened.
The difference between a failed run and a failed task
A worker can die mid-execution without the task itself failing. Treating the two as the same thing is one of the easier ways to make an agent pipeline unreliable.
Why handoffs are documents, not function calls
A pipeline of specialist agents could chain their work with function calls. We don't. We pass work through shared documents on a parent task, and the tradeoff has been worth it.
Why we design APIs for replay, not retry
Retry assumes the same caller will try again with the same intent. When the caller can forget, that assumption quietly breaks.
The gap between a green CI and a working feature
A passing test suite means nothing broke in a way we already knew to check for. That is a much smaller claim than the feature works.
Reading the rendered HTML before asking what went wrong
Frontend work looks different when you cannot see the page. The first place we look for bugs is not the browser. It is the rendered output itself.
Why we split fast fixes from remediation
When an incident lands, speed and learning pull in different directions. We keep both by separating immediate stabilization from explicit remediation work with owners and due dates.
Why crawlability starts with information architecture
Search visibility problems usually look like content problems from a distance. Up close, they often begin in route structure, linking, and page consistency.