Ask AI to do six things in one prompt and you get a long answer that's thin everywhere — with a wrong assumption in the first paragraph quietly shaping the rest. Here's how to turn one big request into a sequence of small prompts you can review one at a time.
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.
Before asking AI which option to pick, have it classify the decision's reversal cost — reversible, hard-to-reverse, or irreversible — so you move fast on the easy calls and slow down on the one-way doors. A candidate reading you confirm, not a verdict it issues.
Ask AI to "plan an MVP" and it hands you auth, a dashboard, billing, admin, and analytics — a platform, not a minimum. Here's how to set an MVP scope guardrail with AI: name the one assumption to test, split must-have from later, and park the not-now ideas before the plan bloats.
"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.
SSO arrives as a checkbox and lands as a lifecycle. Plan the integration before you build it: the identity key, the linking rule that isn't account takeover, what a provider's groups may and may not grant, and what happens when somebody leaves.
Software Development with AI
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