What it does

DeployRamp automates feature flags around deployments. Its AI scans each pull request for risky changes such as new endpoints, migrations, authentication logic and payment flows, explains the change and its significance, and recommends a flag. The site describes a five-step flow: scan, wrap, monitor, feedback and cleanup. Once a risky PR is wrapped in a flag, DeployRamp releases it gradually and monitors for errors. If monitoring spots a fault, the flag reverts to the safe path without a redeploy. Each flag change, rollout step and automated decision is recorded together with its reasoning, which the site presents as an audit trail for compliance. Once a flag has reached full rollout and holds steady, a cleanup pull request is opened automatically so old flags do not pile up. Official SDKs cover TypeScript, Python, Go, Java, Kotlin, Rust and Swift, and the site names React, Next.js and Express among supported frameworks. Repositories on GitHub, GitLab and Bitbucket can be connected, and getting started means installing the GitHub App and adding the SDK. The site offers a demo booking and lists no prices.

Capabilities

AI scan of pull requests for risky changes
Automatic feature-flag wrapping and monitored rollout
Reverts to the safe path when errors appear, with no redeploy
Audit log of flag changes and automated decisions, with reasoning
Cleanup pull request opened once a flag is fully rolled out
SDKs for TypeScript, Python, Go, Java, Kotlin, Rust and Swift

When to use it

You ship often and want risky PRs flagged and rolled out gradually without hand-written rollout plans
You want stale feature flags removed through automatic cleanup PRs
You need a record of rollout decisions for compliance