Stop building your deployment platform. Start shipping.

Production-grade AWS deployments in minutes, not months. Define your pipeline in YAML, connect your AWS accounts, and Dev Ramps handles multi-account rollouts, approvals, rollbacks, and monitoring.

Multi-account, multi-region AWS deployments from a single YAML file
Built-in rollbacks, bake times, and approval gates
AI agent integration — let coding agents deploy and test autonomously
First deployment in under 15 minutes

Get started Experience an interactive demo

git push

Build

Backend

✓

Frontend

✓

StagingAWS Account A

Deploy

✓

Test

✓

Bake

✓

PST businesshours

ProductionAWS Account B

Deploy

✓

Test

✓

Bake

✓

Agent-first experience

EC2 / ECS / EKS / Lambda

Live logs & metrics

One click & automated rollbacks

One push. All your environments, orchestrated. Production-grade safety built in.

Dev Ramps is an AWS-native CI/CD platform that lets teams define deployment pipelines in YAML and ship to production with built-in rollbacks, approval gates, and monitoring. It supports multi-account, multi-region AWS deployments with first-class AI agent integration for autonomous deployments.

Who It's For

Built for teams who run production on AWS

Whether you're building your platform from scratch or modernizing existing infrastructure, Dev Ramps meets you where you are.

Replace your internal deployment platform

Stop spending months building and maintaining custom CI/CD tooling. Get production-grade pipelines, multi-account management, and operational dashboards out of the box.

Add production safety to existing pipelines

Upgrade from fragile scripts to declarative pipelines with rollbacks, bake times, deployment time windows, and CloudWatch alarm-triggered auto-rollback built in.

Enable self-service deployments across your org

Let application teams ship to production without becoming AWS experts. Guardrails, approvals, and environment isolation keep everyone safe while moving fast.

Give AI agents a deployment loop

AI coding agents can claim ephemeral environments, deploy their changes, verify the results, and iterate — all through a standard tool interface. Close the loop between code generation and validation.

Why Dev Ramps

Production-ready infrastructure, without the platform team overhead

Fast Path to Production

Declarative CI/CD instead of scripts

Replace deploy scripts, Makefiles, and GitHub Actions workflows with a single YAML file. Define what you want — Dev Ramps handles how.

See how it works →

deploy.sh

#!/bin/bash
aws ecs update-service \
--force-new-deploy || exit 1

Dockerfile

FROM node:18-alpine
COPY . /app
RUN npm ci && npm run build

.github/workflows/deploy.yml

jobs:
  deploy:
    runs-on: ubuntu-latest
    steps: # ...187 lines

Makefile

deploy-staging:
./scripts/deploy.sh staging
deploy-prod:
./scripts/deploy.sh prod

infra/main.tf

resource "aws_ecs_service" {
# TODO: fix health check
desired_count = var.count

buildspec.yml

phases:
  build:
    commands:
      - ./scripts/build.sh

rollback.sh

#!/bin/bash
# CAREFUL: run manually
PREV_TAG=$(git log ...)

devramps.yaml

pipeline:
  cloud_provider: AWS
  stages:
    - name: staging
    - name: production
  steps:
    - type: DEVRAMPS:ECS:DEPLOY
    - type: DEVRAMPS:APPROVAL:BAKE
  # rollbacks, bake, approvals — built in

Replace fragile scripts

Works with existing repos

Sane defaults built in

One file. Everything declared.

AWS-Native

Connect your AWS accounts in minutes

One CLI command bootstraps least-privilege IAM roles across your AWS accounts. No manual CloudFormation, no credential management.

See how it works →

~/my-app

devramps reading devramps.yaml

pipeline: my-app · target: ECS · 3 accounts

reading additional_iam_policies.json · 3 policies

acct-staging (us-east-1)

✓ CFN stack · IAM role · ECR · S3

acct-prod (us-west-2)

✓ CFN stack · IAM role · ECR · S3

acct-ephemeral (us-east-1)

✓ CFN stack · IAM role · ECR

✓ 3 accounts bootstrapped. Run git push to deploy.

Least-privilege IAM roles

Managed artifacts (S3, ECR)

Secrets stay in your account

One command per account. No manual CloudFormation.

Production Safety

Enterprise safety mechanisms, zero setup

Rollbacks, bake times, deployment time windows, and CloudWatch alarm-triggered auto-rollback — all built in, zero setup.

See how it works →

Build

Staging

Approval

Production

Rollbacks, bake times, approval gates. All built in.

Pipeline Health Metrics

See exactly where your pipelines are slowing down

P50 deploy time, % time blocked, inventory age — see which pipelines slow your team down and identify bottlenecks before they become problems.

See how it works →

Pipeline health dashboard showing blocked pipelines, inventory age, slowest deployments, and key metrics

AI Agent Integration

The first CI/CD platform built for AI coding agents

AI coding agents claim ephemeral environments, deploy, verify, and iterate — all through a standard tool interface. Real infrastructure, not mocks.

See how it works →

PR #247

feature/auth-flow

AI agent

fix/api-timeout

Ephemeral environment pool

env-1available

Deploy

✓

Verify

✓

Release

✓

env-2available

Deploy

✓

Verify

✓

Release

✓

env-3available

Deploy

✓

Verify

✓

Release

✓

Claim, deploy, verify, release. Real infrastructure, on demand.

AI-Powered Reliability

AI that diagnoses and fixes pipeline failures

When a deployment fails, Dev Ramps AI reads your logs and source code, identifies the root cause, and can auto-generate a fix PR. Reduce pipeline toil and unblock developers faster.

Automatic root cause analysis on failure
AI-generated fix PRs to unblock your team
Context-aware analysis across logs and source code

AI failure analysis showing root cause identification, log evidence, and auto-fix button

How It Works

First deployment in under 15 minutes

Three steps from zero to production-grade CI/CD on AWS.

Define your pipeline

Add a devramps.yaml to your repo. Define stages, steps, and artifacts — no scripting required. Connect GitHub and Dev Ramps watches for pushes automatically.

Bootstrap AWS

Run npx @devramps/cli bootstrap to set up least-privilege IAM roles. No manual CloudFormation — one command per account.

Push and ship

Push code and watch it flow through build, test, and deploy across AWS accounts. Approvals, rollbacks, and monitoring handled automatically.

Learn more about how it works →

Example

A real pipeline configuration

Here's what a typical pipeline definition looks like. Declarative, readable, and focused on what you want—not how to do it.

          Example Pipeline
          devramps.yaml
        

          version: "1.0.0"

pipeline:
  cloud_provider: AWS
  pipeline_updates_require_approval: ALWAYS

  stages:
    - name: staging
      account_id: "000000000000"
      region: us-east-1

    - name: production
      account_id: "111111111111"
      region: us-west-2

  # On-demand environments for AI agents and PR previews
  ephemeral_environments:
    agent-env:
      account_id: "222222222222"
      region: us-east-1

  steps:
    # Deploy application to ECS
    - name: Deploy Service
      type: DEVRAMPS:ECS:DEPLOY
      params:
        cluster_name: ${{ steps.infra.ecs_cluster_name }}
        service_name: ${{ steps.infra.ecs_service_name }}
        image_url: ${{ artifacts["API Image"].image_url }}

    # Run smoke tests, then bake
    - name: Run Tests
      type: DEVRAMPS:APPROVAL:TEST
      goes_after: ["Deploy Service"]

    - name: 10 Minute Bake
      type: DEVRAMPS:APPROVAL:BAKE
      goes_after: ["Run Tests"]
      params:
        duration_minutes: 10

  artifacts:
    API Image:
      type: DEVRAMPS:DOCKER:BUILD
      params:
        dockerfile: /services/api/Dockerfile
        

View full documentation →

Security

Enterprise-grade security, built in

Security isn't an afterthought. Every deployment runs with isolation, auditability, and access controls from day one.

IAM Isolation

Each environment runs in its own AWS account with isolated IAM boundaries.

Complete Audit Logs

Every deployment, approval, and infrastructure change is captured and searchable.

Approval Workflows

Require manual sign-off for production deployments with structured change diffs.

Environment Boundaries

Dev can't touch prod. Strict separation enforced at the infrastructure level.

Learn more about security →

Integrations

Works with the tools you already use

Connect your repositories, receive notifications where your team works, and integrate with your existing observability stack.

GitHub

Slack

Terraform

Docker

AWS

CloudWatch

ECS

EKS

Lambda

CloudFormation

CloudFront

Capabilities

Built for how production actually works

Secrets Management

Securely inject secrets into infrastructure and runtime environments. Integrated with AWS Secrets Manager with automatic rotation support.

Ephemeral Environments

On-demand isolated AWS environments for PR previews and AI agents. Agents claim, deploy, verify, and release. Automatic cleanup when sessions end.

Infrastructure Diffs

Infrastructure changes show structured diffs before applying. Know exactly what will change before you approve.

AI Failure Analysis

When deployments fail, AI reads your logs and source code, identifies the root cause, and can auto-generate a fix PR to unblock your team.

Custom Step SDK

Extend pipelines with the TypeScript SDK (@devramps/sdk-typescript). Build custom deployment steps for the last mile of your environment.

AI Agent Toolkit

Standard tool interface for AI agents to manage deployments — claim environments, deploy commits, read logs, and monitor pipeline status programmatically.

Multi-Region Support

Deploy to multiple AWS regions with region-specific configuration. Built-in support for active-active and disaster recovery patterns.