Concept
Where Ablo fits in a multi-agent system
Ablo Team7 min read
Optimistic updates without losing writes
Optimistic UI makes an app feel instant by rendering a change before the server confirms it. The trick is keeping that snappiness while guaranteeing the committed result is conflict-safe — even when people and agents edit at once.
Key takeaways
- Optimistic updates render a change locally before the server confirms, so the UI feels instant.
- Naïve optimistic UI drops writes when two actors change the same field before either commit lands.
- Ablo applies the local update immediately, then reconciles against the confirmed server state — every committed change fans out to all actors live.
- When the optimistic value can’t be committed safely, the actor sees the real, current value rather than a silently-lost edit.
Optimistic updates are the reason good apps feel instant: you move a card, and it moves now — not after a server round-trip. The risk is that “now” is a guess. If the guess is wrong because someone else changed the same thing, a naïve implementation either flickers or, worse, silently keeps a value the server never accepted. The goal is to keep the instant feel and make the final, committed state trustworthy.
Why optimistic UI loses writes
The classic failure: two actors read the same row, both apply a local change, and both send it. The second write overwrites the first, and the first actor’s UI still shows their now-lost value because nothing told it otherwise. The update was optimistic about the wrong thing — it assumed no one else was editing.
Apply locally, reconcile against truth
Ablo keeps the immediate local update, but it is provisional. The authoritative result comes from the server commit, and every confirmed change fans out to all connected actors in real time. So the moment another actor’s write lands, your client reconciles to the true value instead of clinging to a stale optimistic one. You get the snappy feel and a state that actually matches the system of record.
Where claims fit
For quick edits, optimistic-then-reconcile is enough. For slow, multi-step work — the kind agents do — pair it with a claim so the row is reserved before the work begins. The two compose: claims prevent the contention, reconciliation handles whatever still races.
Filed under Guide
By Ablo Team
Frequently asked questions
Do optimistic updates work offline?
Yes — the local update applies immediately and is queued, so the UI stays responsive offline. When connectivity returns, the queued changes are committed and reconciled against the server’s confirmed state, and the result fans out to every actor.
When should I use a claim instead of just optimistic updates?
Use a claim when the work between read and write is slow or expensive — an LLM call, a multi-step agent record — where retrying after a conflict would waste real work. For fast, cheap edits, optimistic-then-reconcile is usually enough on its own.
The collaboration layer for humans and agents
Let people, server actions, and AI agents work on the same data without overwriting each other — on top of the Postgres you already have.