DeployRamp
AI wraps risky PRs in feature flags and cleans them up
About DeployRamp
DeployRamp is built for engineering teams that want safer releases without maintaining feature flag configuration by hand. It uses AI to scan each pull request for risky changes such as new API endpoints, database migrations, auth logic and payment flows, then wraps those changes in feature flags and rolls them out gradually while watching for errors.
When a problem appears, the flag can flip back to the safe path without a redeploy. Once a flag reaches full rollout and holds steady, DeployRamp opens a cleanup pull request so old flags do not pile up in the codebase. Every flag change and automated decision is logged with its reasoning, which the company says is compliance-ready.
The product offers SDKs for several languages and frameworks with one consistent API, and connects to GitHub, GitLab and Bitbucket. Teams set it up by installing a GitHub App and adding the SDK, with no YAML files or manual rollout tracking required.
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