Plan a rollout behind a feature flag

Prompt for a staged rollout behind a feature flag with stop signals, a way back and a date for removal. Paste it into an AI tool of your choice, which then plans the rollout.

Topic: Coding & agents
Type: Prompt
Level: Advanced
Time: about 10 min

Results depend on the tool, the model and what you enter.

Result preview

Example: written by our editors, not real AI output.

Stage 1 · internal team · 2 days Stop if: error rate above 1% · checkout time above 4 s Stage 2 · 5% of customers · 3 days Stop if: error rate above 0.5% · twice as many checkout support requests Stage 3 · 50% · 3 days Stage 4 · 100% Way back: flag off, takes effect within 1 minute. Orders from the new flow stay valid (same table). Log: variant per order, step where people drop out. Removal: 14 days after 100% without a stop, delete the flag and the old flow. Assumption: both flows write to the same orders table.

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FeatureWhat is going live?

AudienceWho uses the product?

RiskWhat could go wrong?

Your prompt

Plan the rollout of a new feature behind a feature flag.
Feature: [Feature]
Audience: [Audience]
Risk: [Risk]
Approach: 1. Name the stages from internal testers to everyone, each with the share of users and a minimum duration. 2. For each stage, set two or three measurable stop signals, such as error rate, response time or support requests, with thresholds. 3. Describe how to switch back within minutes and what happens to data written in the meantime. 4. List what must be logged so both variants can be compared. 5. Set a date and a condition for removing the flag and the old code path. Label assumptions about our system as assumptions.

Take particular care to secure every stage with measurable stop signals and settle the way back before the start.

Before you answer, check: Are all instructions met? If key information is missing or a placeholder in square brackets is still in the text, ask instead of guessing. Mark assumptions as assumptions.

This is an instruction for an AI, not the result itself.

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Copy the finished prompt into an AI tool of your choice.
Go through the stop signals with whoever is on call and check that every threshold can already be measured today.

Why does this work?

Fixed stages with stop signals turn a gut-feeling launch into a series of small, checkable decisions. The removal date stops old flags from piling up as hidden complexity.

Tips

If stored data changes, plan the way back before the first stage; switching the flag off does not undo writes on its own.

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Plan a rollout behind a feature flag

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