AI-native stack designer

Design your stack.
Ship it running.

Drag living node cards onto a canvas — frontends, backends, databases, gateways, Kubernetes clusters — wire them with real traffic, and let AI assemble the rest. When it looks right, it is right: one bridge to your IDE and development starts.

Or let AI draft it: "realtime chat app, 1M users, EU region"

Features

A canvas where infrastructure is alive

Every node is a living card — gateways route, balancers rotate, clusters schedule pods. Your architecture diagram stops being a picture and starts being a plan.

AI-generated stacks

Describe the product — users, scale, region, budget — and AI drafts the whole architecture: framework picks, data layer, gateways, scaling strategy. Every choice lands as an editable card, never a black box.

prompt → architecture

MCP bridge to your IDE

Connect the canvas directly to your editor or any local AI over MCP. Your assistant reads the live stack — nodes, ports, env, wiring — and scaffolds services that match the plan exactly.

web ⇄ IDE · local AI

Living node cards

Sixteen layer-coded card forms — drum databases, hexagonal gateways, round-robin balancers, breathing server racks, pods inside nodes inside clusters. State you can read at a glance.

16 forms · 12 layers

Ready for development

One click turns the canvas into a working starting point — repo layout, Docker Compose, Kubernetes manifests, env templates and port maps that mirror your diagram one-to-one.

diagram → repo

MCP Bridge

Your canvas, speaking directly to your tools

Stackforge exposes the live stack over the Model Context Protocol. Point your IDE assistant or any local model at it — they query the architecture, respect it, and build against it.

How it works

From idea to first commit in three moves

01

Describe or drag

Prompt the AI with what you're building, or compose by hand from the node palette — frameworks, databases, gateways, clusters.

02

Watch it come alive

Traffic flows, balancers rotate, pods schedule. Tune any card — swap Postgres for Mongo, REST for GraphQL — and the stack adapts.

03

Bridge and build

Connect via MCP and your editor's assistant scaffolds the repo against the live plan. stackforge connect — that's the whole setup.

The blueprint that builds itself

Start on the canvas for free. Bring your own AI, your own IDE, your own opinions — Stackforge wires them together.

Open the canvas