The CAP-Adjacent Trade-off Behind Optimistic UI
Optimistic UI chooses availability of the interface over immediate consistency with the server. The load-bearing assumption: the server is canonical, the client is a draft.
Thoughts & Observations
Short, informal pieces on frontend architecture, engineering craft, and systems thinking.
Optimistic UI chooses availability of the interface over immediate consistency with the server. The load-bearing assumption: the server is canonical, the client is a draft.
Concurrency control is about one question: what should the system assume when two actors might change the same thing? Pessimistic, optimistic, and last-write-wins offer three different answers.
Three strategies for managing concurrent edits: pessimistic locking, last-write-wins, and optimistic concurrency control.
Optimistic updates show results immediately before the server confirms — a latency-hiding technique, not a safety mechanism.
Presence shows who is here and what they are doing — but it is a courtesy layer, not a data-integrity mechanism.
When two mutations race from the same client, resolving by response arrival order instead of user intent order produces the classic optimistic update bug.
Optimistic rollback must restore both the data model AND the user's interaction context — focus, scroll, selection — or the user pays the recovery cost.
Notes on applying systems thinking to frontend architecture — feedback loops, stocks and flows, and leverage points.
Short notes on finding the highest-leverage activities as an engineer.
Why frontend codebases get complex faster than backend ones, and what to do about it.