DeployRamp

What is DeployRamp?

DeployRamp is a feature flag management platform that automates the work around risky deploys. Its AI reads each pull request diff for changes such as new API endpoints, database migrations, payment logic and authentication edits, then a coding agent pushes a commit that wraps the change in a flag with a safe fallback path and tracing. After deploy it starts at a small share of traffic, ramps up in steps, and pauses or reverts the rollout when the SDK reports an error spike, without a redeploy. Once a flag holds at 100 percent, it opens a pull request that removes the flag code. SDKs are available for Swift, Rust, Kotlin, Java, Go, Python and TypeScript/JavaScript, with first-class React and Next.js support, and it connects to GitHub, GitLab and Bitbucket. Segments and traits let you roll out to some user groups faster than others. The terms of service name Free, Grow, Scale and Enterprise plans, but the pricing page sits behind a sign-in screen, so no prices are listed here.

Use cases

• Roll out features as canary releases
• Gate database migrations behind flags
• Protect payment and auth changes
• Migrate API consumers to a new version gradually
• Swap infrastructure providers with traffic shifting
• Remove stale feature flags automatically

Who it's for

• Software engineers
• DevOps teams
• Platform teams
• Engineering managers

Why use DeployRamp

• Risky pull requests get flagged and wrapped automatically, so engineers do not hand-write flag boilerplate.
• A rollout that triggers errors reverts to the safe path without a redeploy.
• Stale flags are removed by a generated cleanup PR instead of lingering in the codebase.
• The vendor says source code is not stored long-term and models are not trained on your code.
• Flags can target segments, so enterprise users can be at 100% while free-plan users stay at 10%.

DeployRamp features

• AI scan of pull request diffs for risky changes
• Coding agent that wraps code in flags with tracing
• Error-aware rollout that pauses or reverts automatically
• Cleanup PR when a flag reaches 100% and is stable
• Traits and segments with per-segment rollout percentages
• Audit trail of flag changes and automatic decisions
• Web dashboard for evaluations, rollout status and error rates
• Slack notifications for rollout events
• SDKs for Swift, Rust, Kotlin, Java, Go, Python and TypeScript
• SAML SSO and on-premises install on Enterprise

DeployRamp integrations

• GitHub
• GitLab
• Bitbucket
• Slack
• React
• Next.js
• Express
• Clerk

How to get started with DeployRamp

1. Install the DeployRamp GitHub App on your repository, or connect GitLab or Bitbucket.
2. Add the SDK for your language to your project.
3. Open a pull request; DeployRamp analyzes the diff and suggests a commit that wraps risky code in a flag.
4. After deploy, the rollout starts small and ramps while the SDK reports errors for each flag.
5. When the flag reaches 100% and stays stable, review and merge the cleanup pull request.

DeployRamp limitations

• Public pricing is not available; the pricing page is behind a sign-in screen
• Self-hosted installs are limited to the Enterprise plan
• The 99.9% uptime SLA on Scale and above covers the flag evaluation API only
• Plan limits count developers and monthly active users

DeployRamp pricing

Yes, DeployRamp has a free plan.

DeployRamp plans

• Free

  Free

  limits by developers and MAUs

  • Cloud-hosted GitHub, GitLab and Bitbucket

• Grow

  Price on vendor site

  • Cloud-hosted GitHub, GitLab and Bitbucket

• Scale

  Price on vendor site

  • 99.9% uptime SLA on flag evaluation API

• Enterprise

  Price on vendor site

  • SAML-based SSO
  • On-premises installation
  • Trust center access

Plans as listed on the official pricing page on 24 Oct 2026. Prices can change and may vary by country or exclude tax. Check the official pricing page.

DeployRamp alternatives

The main DeployRamp alternatives listed on Debuly are OrcaRouter, Harness, Pulumi Neo, agent-browser, AgentField and AI/ML API. The table compares pricing and platforms; order is A–Z.

1. 

   agent-browser

   Native Rust command-line browser automation tool built for AI agents, with compact accessibility snapshots and 50+ commands.

   Developer platformsAutomation and agentsCoding
   Open sourceVisit agent-browser (official site)
2. 

   AgentField

   Open-source control plane that turns AI agents written in Python, Go or TypeScript into REST endpoints with queues, retries, tracing and identity.

   Developer platformsAutomation and agents
   Open sourceVisit AgentField (official site)
3. 

   AI/ML API

   One API key for more than a thousand AI models across chat, image, video and audio, billed pay-as-you-go with prepaid credits.

   Developer platformsCodingAutomation and agents
   PaidVisit AI/ML API (official site)
4. 

   Harness

   Software delivery platform covering CI, CD, GitOps, security testing, feature flags and cloud cost, with a free plan and modular pricing.

   Developer platformsAutomation and agents
   FreemiumVisit Harness (official site)
5. 

   OrcaRouter

   OpenAI-compatible AI gateway that routes requests across 200+ models at provider token prices, with guardrails and spend controls.

   Developer platformsAutomation and agents
   FreemiumVisit OrcaRouter (official site)
6. 

   Pulumi Neo

   An AI infrastructure agent in Pulumi Cloud that answers questions, previews changes and opens pull requests against your IaC code.

   Developer platformsAutomation and agentsCoding
   PaidVisit Pulumi Neo (official site)

DeployRamp FAQ

Sources & verification

Facts on this page come from the official sources below, each with the date we read it. Written by Debuly; the vendor did not review this page.

Image credits

• Logo: from deployramp.com · fetched 23 Oct 2026 · Vendor trademark, used only to identify the product; removed on request
• Cover: none collected yet, so a generated tile is shown.

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