The Infrastructure Platform,
for AI-powered Development

Give your team the full benefits of AI-assisted development, with enterprise-grade infrastructure and control.

  • ✓ Automate infrastructure in local development, preview environments, and production on AWS/GCP
  • ✓ Framework-enforced guardrails prevent AI-generated "spaghetti architecture"
  • ✓ Built-in observability and documentation ensures developers stay in control

Trusted by engineering teams at pioneering companies
See products built with Encore Cloud →

Groupon
Bookshop.org
Echo
Quiqup
Carla
Pave Bank
Gradient Labs
Vet-AI
Caribou
Harbinger
Dutch
Pallet
Toolzz
Playwire
Reservamos
The Problem

The Infrastructure Gap

AI tools help developers write features in minutes...

But they still manually set up local infrastructure, write Terraform/Pulumi/CDK, and maintain CI/CD pipelines.

Most engineering time is now spent on DevOps & Infrastructure

80%
Infrastructure & DevOps
20%
Writing Code
With AI writing code, infrastructure and DevOps is the new bottleneck.

What if you could automate infrastructure too?

(Hint: You can!)
The Solution

AI Code Editors + Encore =

Automated Code + Infrastructure in One Workflow

Standard Workflow
Step 1
Describe task
→
Step 2
AI implements
→
Step 3
Configure local infra
(Manual setup, slow iterations...)
↓
Step 4
PR created
→
Step 5
Set up staging/test infra
(Manual setup, DevOps tickets, waiting...)
→
Step 6
Set up prod infra
(Manual setup, DevOps tickets, waiting...)
↻When testing requires manual infra setup, iterations grind to a halt
Multiple iterations = Days of delays
With Encore
Step 1
Describe task
→
Step 2
AI implements
→
Step 3
Infrastructure automatically provisioned
  • ✓ Local infrastructure
  • ✓ Preview environment per PR
  • ✓ Production infrastructure (AWS/GCP)
Iterations are rapid with immediate local and cloud infra setup
Multiple iterations = Minutes, not days
Do more with your existing AI tools

Unlock the potential of AI Code Editors with Encore

Feature
AI Code Editors
with Encore
Code Autocomplete
AI-powered code suggestions and completions
Chat + Agent
Chat with your codebase and use agent mode to generate code
Introspection of your app's architecture, APIs, data, and traces
Encore's MCP server provides deep insight for more informed design, faster debugging, and smarter development
Infrastructure Orchestration
Automatically provision local and cloud infrastructure
Standardized API and Service Design
Consistent API and microservice and implementation patterns
Automated Documentation
Auto-generated API docs and architecture diagrams
Built-in Observability
Trace requests through local and cloud infrastructure
Go fast without breaking things

Self-Service Infrastructure with Guardrails

For Developers

  • ✓Zero local infrastructure setup — databases, queues, and services run automatically
  • ✓Test against real cloud infrastructure in isolated preview environments that spin up in 1 minute
  • ✓No DevOps tickets for prod infrastructure, each PR automatically creates a provisioning request for DevOps approval

For DevOps

  • ✓Developers self-serve with guardrails built-in
  • ✓Automated infrastrucutre provisioning in your AWS/GCP (SOC 2 compliant)
  • ✓Skip the YAML — no Terraform, Kubernetes configs, or Docker Compose
  • ✓Complete audit trail with every change documented
How it works

From Prompt to Deployed Infrastructure
in 3 Steps

1

Use AI to write code and define the infrastructure

Use your favorite AI code editor as you normally would, describing what to build including the infrastructure primitives you want to use. For example:

Add image upload with background resizing and S3 storage. Use Pub/Sub for keeping track of background tasks.

2

Encore sets up the local infrastructure automatically

Encore's parser analyzes the code and creates a graph of the infrastructure requirements, then sets it up automatically for local development.

3

Review & Deploy to Production

Create a PR and Encore Cloud creates a dedicated preview environment for end-to-end testing. Merge and DevOps gets an approval request for any infrastructure changes, approved changes are automatically provisioned in your AWS/GCP environment.

Productivity

Dramatic Time Savings

Before
3+ days
  • ✗Slow iterations
  • ✗Manual local infrastructure setup
  • ✗Back and forth with DevOps team
  • ✗Writing Terraform or YAML
  • ✗Repeat for each environment (testing, staging, prod)
After
~1 hour
  • ✓Fast iterations
  • ✓Automatic local infrastructure
  • ✓Simple testing in preview environments
  • ✓PRs document infrastructure changes with full context
  • ✓DevOps approves and infrastructure is automatically provisioned in your cloud
Groupon

"We've seen a 3x increase in development speed and 90% shorter project lead times."

— Josef Sima, Engineering Director at Groupon

Works with your existing stack

  • AWS
  • GCP
  • Neon
  • Temporal
  • Kubernetes
  • Datadog
  • Grafana
  • Connect
  • GitHub
  • Vercel
  • Netlify

See how to migrate to Encore

We don't recommend a big rewrite. Start small by using Encore for developing new services to unlock immediate benefits, then migrate at your own pace.

Frequently Asked Questions

Where does infrastructure run?
How is Encore different from Terraform?
Does it work for existing projects?
What about local development?
What kind of development is it designed for?
Whare are the limitations?
Does it only work with Claude Code?
What about pricing?
Get Started

3x Your development velocity
using your favorite AI with Encore

Start building with automatic infrastructure in local development, preview environments, and production on AWS/GCP.