Product

Everything you need to ship to AWS with confidence

Declarative pipelines, one-command AWS bootstrap, built-in safety mechanisms, AI agent integration, and pipeline health metrics. The CI/CD platform built for both humans and AI agents.

Overview

A complete CI/CD platform, not just a pipeline runner

Dev Ramps replaces the patchwork of CI tools, deployment scripts, and infrastructure automation you've built yourself.

Product Overview Diagram

High-level architecture diagram showing: Developer pushes code → Dev Ramps (Pipeline execution, Infrastructure management, Deployment orchestration) → Multiple AWS Accounts (Dev, Staging, Prod) with monitoring and audit logging

Declarative Pipelines

Define what you want, not how to do it

Write a single YAML file that describes your stages, steps, and artifacts. Dev Ramps handles building containers, orchestrating Terraform, deploying to ECS/EKS/CodeDeploy, and managing rollouts across accounts.

  • Built-in step types: ECS, EKS (Helm + kubectl), CodeDeploy, Terraform, S3
  • DAG-based step ordering with sequential and parallel execution
  • Dynamic expressions: reference step outputs, secrets, and stage context
  • Docker and bundle artifacts with per-stage or global builds
Step detail view showing ECS deployment with arguments, output, and real-time logs

AWS Account Bootstrap

Connect your AWS accounts in minutes

Our CLI bootstraps least-privilege IAM roles across your existing AWS accounts — no manual CloudFormation, no credential management. Environment isolation with cross-account IAM handled correctly.

  • One-command bootstrap: npx @devramps/cli bootstrap
  • Least-privilege IAM roles via OIDC — no persistent credentials
  • Cross-account IAM roles and trust relationships
  • Secrets stay in your AWS account — you keep full control
Diagram

AWS Organization structure diagram showing: Management Account at top, then OUs for different environments (Development, Staging, Production), each containing isolated AWS accounts with VPCs

Deployment Safety & Governance

Enterprise safety mechanisms, zero setup

Every deployment includes the safety mechanisms mature platform teams spend months building. Rollbacks, bake times, deployment time windows, CloudWatch alarm-triggered auto-rollback, and approval gates — all configurable, all built in.

  • CloudWatch alarm-triggered auto-rollback with stage blocking
  • Deployment time windows to block off-hours deploys
  • Terraform plan review, bake times, and manual approval gates
  • Pipeline update approval — changes to pipeline config require sign-off
Manual approval workflow showing Terraform plan with resource changes, approve and reject buttons

Pipeline Health Metrics & Auditability

See exactly where your pipelines are slowing down

Track the metrics engineering leaders actually care about. P50 end-to-end deploy time, % time blocked, inventory age, and slowest deployments — all surfaced in a single dashboard. Plus complete audit trails for compliance.

  • Pipeline health dashboard: deploy time, blocked %, inventory age
  • Real-time logs from every build and deployment step
  • Complete deployment history and audit log per service
  • Identify bottlenecks and slowest deployments across your org
Pipeline health metrics showing P50 deploy time, uptime percentage, inventory age, and multi-region deployment stages

AI Agent Integration

Give AI coding agents a real deployment loop

AI agents are writing production code, but they lack the ability to deploy and verify their changes against real infrastructure. Dev Ramps bridges this gap with ephemeral environments — isolated AWS environments that agents can claim, deploy to, validate, and release on demand.

  • Ephemeral environments: on-demand, isolated AWS environments
  • Session-based lifecycle: claim, deploy, verify, release
  • Standard tool interface compatible with any AI agent framework
  • Full pipeline execution — real Terraform, real containers, real infrastructure
Agent Workflow devramps.yaml 
# Define ephemeral environments for agents
ephemeral_environments:
  agent-env:
    account_id: "222222222222"
    region: us-east-1

# Agent lifecycle:
# 1. Claim environment → get session
# 2. Deploy commit → full pipeline runs
# 3. Verify changes → read logs, check status
# 4. Iterate or release → deploy again or free env

Agent Workflow

How AI agents deploy with Dev Ramps

A complete deploy-verify-iterate loop that any AI agent can drive through a standard tool interface.

1

Claim an environment

The agent claims an available ephemeral environment, getting an isolated AWS account to deploy into. Session-based locking prevents contention between agents.

2

Deploy and verify

The agent deploys a commit and monitors the full pipeline — Terraform, container builds, ECS deployment. It reads real-time logs and step status to verify success.

3

Iterate or release

If something fails, the agent can fix the code, deploy again, and re-verify. When done, it releases the environment for the next session.

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
GitLab
Bitbucket
Slack
Datadog
CloudWatch
PagerDuty
Terraform
Docker
AWS ECR
AWS ECS
AWS Lambda

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.

Stop building your deployment platform. Start shipping.

Production-grade AWS deployments in minutes, not months. First deployment in under 15 minutes.

Get started See how it works