Overview

Shuttle is an AI-powered platform that enables building and deploying cloud-based applications quickly and efficiently. It is designed to handle the complexity of the infrastructure and allow developers to focus on writing code.

The platform provides an easy-to-use interface that leverages the power of AI to generate code, provision infrastructure, and deploy the application to the cloud.

Users can simply define their project requirements using natural language prompts, and Shuttle's AI agents will analyze the request, generate code, ensure it compiles, provision the infrastructure, and deploy the application.

Shuttle claims that it can create a fully-working backend app in less than five minutes. The platform uses multiple LLM agents that work together to handle the request.

ShuttleAI breaks down the user's prompt, analyzes the project, and defines a plan of action. Then code-generation agents generate a working codebase while Shuttlify and compilation agents handle the infrastructure and any potential errors or mistakes that might appear.Shuttle supports Rust, a programming language that is known for its speed and reliability.

Shuttle features starters, documentation, and guides to help developers build complex cloud-based applications. The platform also offers a waitlist for those who want to join, and developers can give Shuttle a star on Github if they find it useful.

The platform is backed by investors, and its website uses cookies to enhance the user experience and measure engagement.

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ShuttleInitial

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Initial release

June 2, 2023

Initial release of Shuttle.

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5.0

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Steve Hoyek

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May 15, 2024

@ initial release

Rated it

@Shuttle

Love using Shuttle for my Rust projects. Reliable

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Pros and Cons

Pros

Cloud-based app creation

Efficient app deployment

Handles infrastructure complexity

Focus on code writing

Infrastructure provisioning

Application cloud deployment

Natural language prompts

Project requirement analysis

Working backend app under 5 mins

Error and mistake handling

Supports Rust language

Decomposes user prompts

Project planning features

Provides codebase

Creates app plan of action

Comprehensive documentation

Backed by investors

Good UX with cookies

Github popularity

Project roadmap transparency

Community presence on Discord

Ease of adding features

Offers guides for building complex cloud-based apps

Starters for developer ease

Waitlist availability

Theme switch option

Measures user engagement

View 22 more pros

Cons

Only supports Rust language

Depends on LLM agents

Limited control over infrastructure

Less flexibility in code generation

Prompt interpretation may vary

Absence of real-time code modification

No immediate-access, only waitlist

Limited to cloud-based applications

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Q&A

What exactly is Shuttle?

Shuttle is an AI-powered platform that enables building and deploying cloud-based applications quickly and efficiently. Designed to handle complex infrastructure, it allows developers to focus solely on code writing. Users define their project requirements with the help of natural language prompts, and Shuttle's AI agents analyze the request to generate code, provision infrastructure, and deploy the application to the cloud.

How does Shuttle use AI to assist in app development?

Shuttle uses AI in several ways. Initially, it breaks down the user's prompt, analyses the project, and defines an action plan. Code-generation agents then produce a working codebase, while Shuttlify and compilation agents take care of the infrastructure provision and handle potential errors. This enables a fully functioning backend app to be created swiftly and efficiently.

What coding languages does Shuttle support?

Shuttle currently supports Rust, a programming language that is appreciated for its speed and reliability.

How quickly can I develop an app using Shuttle?

As per Shuttle's claim, with its AI agents' help, you can develop a fully working backend app in less than five minutes.

What is the purpose of Shuttle's natural language prompts?

Shuttle's natural language prompts serve a critical role in defining the project's requirements. The user can simply write the project needs, and Shuttle's AI agents will analyze these requirements, thereby facilitating a smoother development process.

What are Shuttle's LLM agents?

LLM agents in Shuttle are subparts of ShuttleAI that work together to handle user requests. These agents analyze the user's prompt, reason about the project, and define a plan of action.

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Can Shuttle catch errors in my code?

Yes, Shuttle can catch errors in your code. The platform's compilation agents sit in the background and fix any potential errors or mistakes that might appear during the code generation process.

How does Shuttle work with cloud deployment?

After generating a working codebase, Shuttle then takes care of the necessary infrastructure provision. The application is then deployed to Shuttle's cloud, ensuring a complete, live, and functional application.

What type of applications can I build with Shuttle?

With Shuttle, you have the flexibility to build a variety of cloud-based applications. From a blog service to a todo app, just express your idea using a simple prompt, and Shuttle's AI agents will analyze it, generate the needed code and ensure its compilation and successful deployment.

Can Shuttle update and deploy changes on an existing application?

Yes, Shuttle can help update and deploy changes to an existing application. You can communicate this need by using the 'add-feature' prompt, and Shuttle's AI agents will analyze your code, update it, and deploy the necessary changes.

Does Shuttle offer any guides or documentation?

Yes, Shuttle offers comprehensive documentation and guides to help developers maneuver through the application building process. This resource can be instrumental when building complex cloud-based applications.

Does Shuttle provide any templates or starters for app development?

Indeed, Shuttle provides starters which are helpful templates to aid developers in kick-starting their application development venture.

Does Shuttle have a waitlist?

Yes, Shuttle does have a waitlist. Those wishing to join can sign up for it on their website.

What is Shuttle's relationship with Github?

Shuttle has an active presence on Github. Developers can give Shuttle a star on Github, indicating that they find the platform useful. Additionally, Shuttle's product roadmap is available on Github, providing transparency about its development plans.

How do I join the Shuttle community?

You can join the Shuttle community through various means including, Github, Discord, Twitter, and LinkedIn. Links to these platforms are readily available on their website.

How do I use Shuttle's 'add-feature' command?

To use Shuttle's 'add-feature' command, simply type in 'shuttle-ai add-feature' followed by your specific requirement in quotes. For instance, if you want to add comment support to your app, you would type 'shuttle-ai add-feature "Add comment support"'. Shuttle's AI agents will then analyze your code, update it, and deploy the required changes.

What do Shuttlify agents do within the Shuttle platform?

Shuttlify agents within the Shuttle platform primarily take care of infrastructure and provisioning. Once the codebase is generated, these agents ensure that all necessary infrastructure elements are in place for a seamless deployment to the Shuttle's cloud.

How do Shuttle's AI agents analyze the project requirements from prompts?

Shuttle's AI agents start by expanding upon the user's prompt, reasoning about the project, and then defining a plan of action. Even simple prompts are enough for these agents to make assumptions and define the app's basic shape. Essentially, these AI agents analyze the project requirements by deducing from the user's natural language cues.

What type of infrastructure does Shuttle provision for the application?

Shuttle provisions the required infrastructure for the application. Once a plan is decided, the process is handed over to the Shuttlify agents who handle all aspects of infrastructure and provisioning. The infrastructure is fully ready by the time the codebase is generated and the application is ready to be deployed on Shuttle’s cloud.

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