How It Works
DeployRamp manages the full lifecycle of a feature flag, from creation to cleanup, so your team can ship with confidence. Here is the 5-step process.
1. Install the GitHub App
Connect DeployRamp to your repositories by installing the GitHub App. Once installed, it watches every pull request for risky changes that could impact production.
2. AI scans every PR
When a pull request is opened or updated, DeployRamp's AI analyzes the diff to identify code changes that could cause incidents — new endpoints, refactored business logic, database schema changes, and more. It determines which changes should be wrapped in a feature flag.
3. Accept the flag suggestion
DeployRamp posts a review comment suggesting a feature flag. When you approve the suggestion, a coding agent pushes a commit that wraps the risky code path in a flag. No manual instrumentation required.
4. Merge and let AI manage rollout
After you merge the PR, DeployRamp begins a controlled rollout. The flag starts at a small percentage of traffic and ramps up gradually. If error rates spike or latency degrades, it automatically rolls back to zero, protecting your users without paging your team.
- Start small: flag is enabled for a low percentage of traffic
- Monitor: error rates, latency, and custom metrics are tracked in real time
- Ramp up: if metrics stay healthy, the percentage increases on a schedule
- Auto-rollback: if anything looks wrong, rollout is paused or reversed instantly
5. Auto-cleanup when stable
Once the flag reaches 100% and has been stable for a configurable period, DeployRamp's coding agent opens a pull request to remove the flag wrapper entirely. The dead code path is cleaned up, and the flag is archived. No stale flags, no tech debt.