HomeExampleAgentic automationGetting startedStackWhat is this

Build apps like you never thought possible.

You dream up brilliant ideas. AI figures out how. On this site you can get your Harness Companion. Specialized automation for agentic work that handles everything: organizing branches, creating environments, and cleaning up when done.

How Harness Engineering looks like →
PUSH
BRANCH
MERGE
DEPLOY
// example

How it looks like

You prompt. Claude writes the code. Your app is live. Automatically.

Your ideas...

... Created

/feature build a kanban board with drag-and-drop, task cards, dark theme, and deploy it
Ask Claude anything…
＋⊡
Opus 4.6 1M ∨⊙
acme-saas⑂dev
+
☁ kanban-project ∨
⚿kanban-abc.up.railway.app
TaskFlow
BoardTimelineSettings
RA
Sprint 14
Filter+ Task
To Do3
feature
Add user avatar upload to profile settings
JK
Apr 3
bug
Fix dropdown z-index on mobile nav
LS
Apr 2
design
Dark mode color token audit
MR
Apr 4
In Progress2
api
Implement drag-and-drop reordering endpoint
RA
Apr 1
feature
Real-time board sync via WebSockets
NK
Mar 30
Done2
api
Setup Prisma schema + seed data
RA
Mar 28
feature
Column layout + responsive grid
JK
Mar 27
deployed
// agentic automation

Your Harness Companion

Imagine you're building a web app. You ask Claude Code to add a dark mode feature. Claude writes the code and needs somewhere to put it. Without automation, you'd have to:

without harness: manual workflow
  • 1Manually create a branch for the feature
  • 2Manually review and merge the AI's code
  • 3Manually set up a test environment to preview
  • 4Manually create a pull request when ready
  • 5Manually tear down the environment after merging
  • 6Manually delete old branches to keep things tidy
with harness: fully automated
>“Add dark mode to the app”
Branch created & namedon push
Live URL generation, setting up DNSinstant
Preview environment scaffoldedauto
PR auto-created & mergedcommand
Environment deployed, URL sharedauto
Writing Release noteson merge
Environment & branches cleaned upon merge
✓New feature launched!
// getting started

What to do?

01

Decide what you need

Choose the level that matches your project — from code-only to web apps with data and file storage.

Choose your stack ↓
02

Follow the wizard

One step at a time. Create repos, tokens, and secrets. Copy-paste the AI agent prompt. Every action is explicit.

Pick a variant ↓
// stack

What do you need?

GITHUBactions
Variant 01
~10 min

Code Only

Claude writes and manages your code. For scripts, libraries, and CLI tools. Code is managed and merged.

Automatic feature branch creation per Claude sessionConvention-based branch naming (claude/ → feature/)/mergedev command for one-step PR + auto-merge to devAutomatic branch cleanup after mergeDependabot for dependency updates
RequiresGitHub account·Claude account
Get Started →
actionspreview.url
Variant 02
~15 min

Web App

For landing pages, portfolios, and dashboards. Each feature gets its own live URL you can share and test.

Everything from Code OnlyLive preview URL per feature you buildAutomatic environment creation on branch pushPreview URL available after each pushAutomatic cleanup on merge
RequiresGitHub account·Claude account·Railway account
Get Started →
actions
Variant 03
~15 min

Web App + Data

Your app can also store data like user accounts, posts, orders, sign-ups, forms, and more.

Everything from Web AppDatabase per feature: each feature gets its own isolated dataDatabase connection automatically configuredNo shared state between features
RequiresGitHub account·Claude account·Railway account
Get Started →
actions
Variant 04
~15 min

Web App + Data + File Storage

For apps that also handle photos, documents, or media. Stores both data and files.

Everything from Web App + DataFile storage per feature, isolated from other featuresStorage credentials automatically configuredUpload and serve images, documents, and media
RequiresGitHub account·Claude account·Railway account
Get Started →
// what is this

A new way to build software

Harness Engineering is an opinionated approach to building software. A single person, or a small team, directs AI agents through structured workflows called the harness. The harness ensures quality at speed, with minimal friction. Instead of writing every line of code by hand, you orchestrate intelligent agents that build, test, and deploy on your behalf.

traditional development
  • 1Speed is limited by how fast people can write code
  • 2Scaling means hiring more engineers
  • 3Context lives in people’s heads
  • 4Quality and speed are always in tension
harness engineering
  • Speed is limited by how fast you can review and iterate on ideas
  • Scaling means deploying more agents
  • Context is encoded in the harness itself
  • Quality is built into the workflow, and speed follows naturally

The bottleneck is no longer writing code. It is deciding what to build. Harness Engineering shifts your team from execution to judgment, which is the one thing humans still do better than machines.