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Shipd: an AI app builder for real applications

September 12, 2026 · 7 min read
ai-app-builderproductdeveloper-workflow

Shipd is an AI development platform for building, improving, and shipping applications. The idea is simple: instead of treating AI only as a code writer, Shipd uses AI across the development process. You describe what you need, Shipd helps plan the work, builds the parts of the application, shows you the result running, and lets you review and continue from there.

That's useful when you're starting a product. It becomes especially valuable when you already have an application and need to keep working on it.

What Shipd includes

Shipd brings the parts of application development into one workflow:

  • AI development team. Specialised AI roles handle product, design, frontend, and backend work.
  • Codebase-aware AI. Understands an existing codebase before making changes.
  • Architecture Brief. Maps a project's structure, technologies, components, and conventions. Here's what that involves.
  • Natural-language development. Explain features and requirements without writing everything as specifications.
  • Full-stack builds. Real functionality across both frontend and backend.
  • Feature-by-feature development. Applications grow in smaller, reviewable pieces.
  • Live preview. See the application running as it's built.
  • GitHub integration. Connect existing repositories and push completed work back as clean pull requests.
  • Human approval workflow. Review the work and give feedback between development stages.
  • Multiple tech stacks. React, Vue, Svelte, and vanilla JavaScript up front; Node.js, Python, Java, C#, Go, Ruby on Rails, and PHP behind.

The shape all of that adds up to is a loop, not a one-shot:

the shipd loop requirement plan design build preview iterate ship
Requirement, plan, design, build, preview, iterate, ship. Then the loop comes around again.

You describe it, the workflow implements it

You don't have to translate every idea into code before Shipd can work with it. You explain a feature much like you'd explain it to a developer:

you say
"When a user clicks Add Task, open a form with a title, description, due date and assignee. After submitting, save the task and show it in the project task list."
the workflow implements
+ Add Task button · header
TaskForm · 4 fields · validation
POST /api/tasks · persisted
task list · renders new row
Each part of the sentence becomes a concrete piece of the implementation.

That description gives Shipd the behaviour you want. You don't need to start by defining POST /api/tasks or writing out the database structure by hand. The technical implementation still happens, of course. The difference is that you start with the outcome, and the development workflow handles the translation.

How Shipd works, step by step

1. Start with a requirement. It can be something new: "build a customer dashboard where users can see their orders and track delivery status." Or a small change to an application you already have: "add a filter to the tickets page so users can view only open tickets." Start with the problem, not the implementation.

2. Break the work into features. Applications become unmanageable when everything is generated at once, so Shipd builds one feature at a time. A booking product might break down like this:

registration
listings
booking
payment
confirmation
dashboard
Each piece is checked before the build moves further. Closer to how software actually gets developed.

3. Build. Once the requirement is clear, the relevant AI specialists do their part: the design side shapes the interface and experience, the engineering side handles the application logic, the frontend, the backend, and the connections between them. The goal isn't a pile of code files. The pieces have to work as an application.

4. Preview and review. As the application is built, you see it running in the live preview, which gives you something to react to. Maybe the booking flow works but the confirmation screen doesn't feel right. Maybe the dashboard needs another filter. Instead of discovering all of that at the very end, you review while development is still happening, and your approval gates each stage.

5. Iterate and ship. Software development rarely ends at the first working version. Requirements change, customers ask for features, designs get updated, bugs appear. Shipd is designed around that cycle rather than treating the first generated version as the finish line.

What languages and technologies does Shipd support?

For frontend work, Shipd generates React, Vue, Svelte, and vanilla JavaScript. For backends, it builds Node.js, Python, Java, and C#. And its cloud environment runs existing stacks including Go, Ruby on Rails, Python, PHP, and Node, so you don't have to rebuild a product just to start using an AI development workflow on it.

frontendReactVueSvelteVanilla JS
backend buildsNode.jsPythonJavaC#
runs your stackGoRuby on RailsPythonPHPNode
Bring the stack you have. The cloud sandbox boots it on a real database.

How is Shipd different from a simple AI app builder?

The difference is mainly in what happens after the generation.

A simple AI app-building workflow is prompt, generate, prototype. That's genuinely great for getting an idea on screen. But real products follow a longer path: requirement, plan, build, test, change, improve, ship. And then the cycle starts again.

Shipd is designed for that second path. It can create an application from scratch, and it's also built to work with existing codebases, import projects from other builders, and support the ongoing development that real applications require.

Who is Shipd for?

Developers. Use AI to speed up implementation while keeping your existing architecture, technologies, and code. Shipd reads your codebase first.

Startup founders. Describe product ideas in plain language and move toward a working application without translating every requirement into technical instructions. The AI team handles the translation.

Agencies. Work with existing client applications, understand their codebases, and keep developing features without rebuilding projects from scratch. There's a dedicated agency programme for exactly this workflow.

Product teams. Move from requirements to working features while keeping people in the loop: reviewing the work, gating the stages, deciding what happens next.

Built for what comes after the prompt

The interesting part of AI development isn't simply getting AI to write code. It's getting AI to work with the application, the requirements, and the development process around that code.

That's the direction Shipd takes. You can start with a product idea, explain a feature in plain language, or bring in an existing codebase. From there, Shipd moves the work through planning, design, engineering, preview, and iteration. For a new project, that means getting from an idea to a working application. For an existing one, it means an AI development workflow that continues with the product instead of starting over.

Shipd is built for the part of software development that comes after the prompt: when the application needs to keep changing, improving, and shipping.

Try Shipd →

Describe an app. Ship the real thing.

Shipd turns a prompt into a complete, multi-page app, and reads your codebase so the output matches it. Free to start, no credit card.

Start building free