Explore all 6 guides related to Rollback Plan Prompt.
6 guides
AI deployment plans end at "roll back if needed" — no trigger, no undo steps, no flag on what can't be reversed. Here's how to write a rollback plan before you ship: a measurable trigger, the reverse of every step, the parts you can't undo, and who makes the call.
"Bump the tag and restart — ask Priya if it breaks" is not a runbook, and Priya is on a plane. Here's how to turn what you actually do into a deployment runbook someone else can execute: preconditions, ordered steps, a verification at every gate, a failure path that isn't hope.
The ALTER is one line. The migration is everything around it — because for a while, two versions of your code share one database. Here's how to turn a schema change on a live table into phases that stand alone, a backfill that can resume, and one step you can never take back.
Turn a release into a staged rollout plan you can defend — cohorts built from your risk rather than round numbers, gates that widen on evidence instead of a timer, and a written difference between pausing and rolling back.
Turn "are we good for Thursday?" into a checklist that can answer it — every item carrying the evidence behind it, a name, and an honest status, so the ship decision rests on what somebody checked rather than what nobody objected to.
"We do rolling deploys, so we have zero downtime" is true about the mechanism and often false about the change. Here is how to plan a zero-downtime deployment with AI: work out whether the old and new versions can actually run at once, across the database, the queue, and the traffic switch, before you ship.