The architecture workbench to model, validate, and explore
how your systems behave. From the first connection to the next decision.
Coordinates reads, writes, and asynchronous order events.
A box on a canvas can tell you what exists.
SwiftBuild helps you explore how it connects,
what it depends on, and why you chose it.
Components, connections, and configuration share one architecture model.
Keep requirements, decisions, and engineering findings close to the system.
Compare scenarios and saved runs using explicit assumptions.
Start with the technologies you know.
Design with the behavior that matters.
Search a technology catalog, configure components, and connect them with explicit relationships. A database is more than a cylinder.
Link requirements and decisions to architecture objects. Capture alternatives, rationale, and consequences.
Use a queue to decouple checkout from background fulfillment.
Structural checks and deterministic engineering findings expose evidence, recommendations, and unknowns.
Define workloads, growth, and bursts. Explore analytical demand and seeded simulation, then compare saved runs.
Understand the modelResults describe the supplied model.
Missing measurements remain unknown.
One connected workflow.
Every decision builds on the last.
Capture requirements and measurable goals.
Model components and semantic connections.
Declare behavior and operating assumptions.
Review structural and engineering findings.
Explore workload scenarios and contention.
Compare evidence and save a checkpoint.
Inspect the code. Run it locally. Make it yours.
SwiftBuild is open source and self-hostable,
with no managed service required.
git clone https://github.com/SwiftBuild-ai/SwiftBuild.gitcd SwiftBuild
pnpm install
pnpm devSwiftBuild Cloud is the planned managed experience.
Today, start with the open-source workbench.
SwiftBuild is an open-source Architecture IDE and System Design Workbench. Model systems with components and connections that carry engineering meaning, then explore requirements, validation, and workload scenarios.
The canvas is a starting point. Components have configuration and behavior; relationships, requirements, decisions, evidence, and saved scenarios connect to the same semantic model.
The website demo is illustrative. In the workbench, simulation results describe your supplied model and assumptions. They do not replace production load testing, and missing measurements remain unknown.
Yes. Run the browser-local workbench using Docker Compose or the documented Node.js setup. Optional invite-only server mode exists; full server deployment and operational backup/restore remain planned.
SwiftBuild Cloud is planned. You can use and self-host the open-source workbench today. Collaboration, AI assistance, and managed hosting are roadmap work.
Open source. Self-hostable. Built for the way engineers think.