Kineto AI Platform: No-Code GPT-5 App Builder by JetBrains (2025 Complete Guide)

!Kineto AI platform interface showing app creation

Introduction: The Dawn of True No-Code AI App Development

Imagine building a fully functional web app in just 20 minutes—without writing a single line of code. Not a simplified mockup or a basic prototype, but a complete, working application with a polished interface, functional backend, and proper database.

For most creatives, entrepreneurs, and small business owners, traditional app development has remained frustratingly out of reach. The barriers are substantial: learning to code takes months or years, hiring developers is prohibitively expensive, and even traditional "no-code" platforms often require technical knowledge and significant time investment to master.

This is where JetBrains' groundbreaking Kineto AI platform enters the picture. Launched in early August 2025, Kineto leverages the latest OpenAI GPT-5 model to revolutionize how apps are created. By simply describing what you want in plain English, Kineto generates complete "single value" web applications—focused tools that solve specific problems—from your natural language prompts.

The value proposition is compelling: Kineto democratizes app development by combining powerful AI-driven full-stack generation with an intuitive no-code interface, enabling fast prototyping, customization, and seamless hosting. It's the first platform that truly delivers on the promise of no-code—not "less code" or "hidden code," but genuinely "no code for you at all."

Ready to turn your app ideas into reality without coding? Join the Kineto Early Access waitlist today and start building your first no-code app!

What is the Kineto AI Platform?

Overview of Kineto

The Kineto AI platform represents JetBrains' ambitious entry into the no-code space, leveraging their 25+ years of experience in developer tools. Launched in early August 2025, Kineto is currently available in Early Access with a waitlist for initial users.

At its core, Kineto is designed to enable non-developers to create functional web applications through natural language prompts. Unlike traditional no-code platforms that use visual builders and pre-made components, Kineto takes a fundamentally different approach: you simply describe what you want, and the AI builds it for you.

The platform specializes in creating what JetBrains calls "single value" apps—focused applications that solve specific problems. These include:

• Personal blogs and content sites
• Fitness and habit trackers
• Plant care and pet management apps
• Quiz and survey tools
• Daily planners and task managers
• Simple e-commerce stores
• Event planning tools
• Recipe collections and meal planners

While pricing details haven't been publicly disclosed yet, JetBrains positions Kineto as accessible to creatives, small businesses, and individuals with no programming experience.

GPT-5 Integration and Impact

What truly sets the Kineto AI platform apart is its integration with OpenAI's GPT-5, announced on August 7, 2025. This cutting-edge AI model powers Kineto's ability to understand complex app requirements and generate high-quality code.

According to JetBrains' technical blog, GPT-5 integration has boosted Kineto's performance and code quality by 1.5× to 2× compared to previous models. This translates to several concrete benefits:

• More accurate interpretation of natural language prompts
• Higher-quality code generation with fewer bugs
• Better understanding of complex app logic and relationships
• Improved UI design and user experience
• Faster generation times (approximately 20 minutes for a complete app)

The full-stack generation capabilities are particularly impressive. From a single description, Kineto produces:

1. A complete frontend with responsive design

2. A functional backend with proper API endpoints

3. A database schema with appropriate relationships

4. User authentication and basic security features

5. Hosting configuration ready for deployment

> "With GPT-5 integration, Kineto represents a paradigm shift in how software is created. We're not just making coding easier—we're removing it entirely from the equation for many use cases." — JetBrains CTO, August 2025 press release

Key Features and Capabilities of the Kineto AI Platform

Natural Language App Generation

The cornerstone of the Kineto AI platform is its ability to transform natural language descriptions into working applications. This process works remarkably well for focused, single-purpose applications.

Here's how it works in practice:

1. Describe your app: You provide a detailed description of what you want your app to do. For example: "I want a plant care app that lets users add their houseplants, set watering and fertilizing schedules, track growth with photos, and get care tips based on plant species."

2. AI interpretation: Kineto's GPT-5 model interprets your description, identifying key features, data structures, and user flows.

3. Full-stack generation: The platform generates the complete application stack, including:

• User interface with appropriate screens and components
• Backend logic for handling data and user actions
• Database schema for storing information
• API endpoints for communication between frontend and backend
• Basic security features and user authentication

4. Preview and refine: You can immediately preview the generated app and make adjustments through further natural language instructions.

The entire process typically takes around 20 minutes for the initial generation, with additional time for refinements and customizations.

Meta Layer: Advanced Customization Without Coding

One of the most innovative features of the Kineto AI platform is what JetBrains calls the "Meta Layer"—a chat interface that allows non-technical users to verify and modify their app's underlying logic, user roles, and business rules without touching code.

The Meta Layer provides:

• Logical verification: Confirm that your app's logic works as intended
• Role-based access control: Define different user types and what they can access
• Business rule definition: Set conditions, validations, and automated actions
• Workflow customization: Modify user journeys and process flows
• Integration configuration: Connect to external services when needed

This approach bridges the gap between no-code simplicity and the customization power traditionally reserved for developers. Instead of learning a visual builder's specific components and limitations, users can simply explain what they want changed in natural language.

Example Meta Layer interaction:

User: "I want to add admin users who can approve new plant species submissions before they appear in the database."

Kineto: "I'll add an admin role with approval capabilities. Admins will see a dashboard with pending submissions, and regular users will see a notification when their submission is approved. Should admins also be able to edit existing plant information?"

User: "Yes, and they should be able to feature certain plants on the homepage."

Kineto: "Got it. I've added admin editing capabilities and a 'feature' toggle that will display selected plants in a carousel on the homepage."

Hosting and Deployment

Kineto eliminates another major hurdle in app development by handling hosting and deployment automatically. JetBrains manages the infrastructure, allowing users to focus solely on their app's functionality and design.

Key aspects of Kineto's hosting solution include:

• One-click publishing: Deploy your app with a single action
• JetBrains-managed infrastructure: No server configuration or maintenance
• Automatic scaling: Resources adjust based on your app's needs
• Custom domain support: Use your own domain name
• SSL certificates: Secure connections provided automatically
• Continuous availability: Reliable uptime for your applications

While detailed security policies aren't yet public, JetBrains has a strong reputation for secure, enterprise-grade tools, suggesting that Kineto's hosting environment will maintain similar standards.

Benefits and Ideal Use Cases for Kineto

Transforming Ideas into Apps Without Technical Barriers

The Kineto AI platform delivers several compelling benefits that address longstanding pain points in app development:

1. Dramatically reduced time-to-market: Create functional prototypes in minutes rather than weeks or months.

2. Eliminated technical barriers: No coding skills required, making app development accessible to everyone.

3. Reduced costs: No need to hire developers or learn complex tools.

4. Iterative development: Quickly test ideas and refine based on feedback.

5. Focus on creativity: Concentrate on solving problems rather than implementation details.

6. Professional results: Generate apps with a level of polish that typically requires professional development.

For many users, the most significant benefit is the democratization of app creation. Just as smartphones and social media democratized content creation, Kineto democratizes app development, allowing anyone with an idea to bring it to life.

Perfect for Single Value Apps

The Kineto AI platform excels at creating what JetBrains calls "single value" apps—focused applications that solve specific problems without excessive feature bloat. These apps are perfect for:

1. Content creators looking to build custom platforms for their audience

2. Small businesses needing specific tools to streamline operations

3. Entrepreneurs testing product ideas before significant investment

4. Educators creating interactive learning experiences

5. Non-profits developing tools for their specific needs

6. Individuals solving personal productivity challenges

Some real-world examples of single value apps that Kineto can build include:

• Plant Buddy: Track houseplant care schedules, growth progress, and care tips
• Fitness Journey: Log workouts, track progress, and set fitness goals
• Recipe Vault: Store family recipes with photos, ingredients, and instructions
• Event Planner: Manage guest lists, RSVPs, and event details
• Book Club Hub: Track reading progress, schedule meetings, and share notes
• Freelance Manager: Track projects, invoices, and client communications
• Daily Gratitude: Record daily moments of gratitude with photos and reflections
• Pet Health Tracker: Monitor pet medications, vet visits, and health metrics

> "Kineto isn't trying to build the next Facebook or Uber—it's empowering individuals and small teams to create the niche tools they need without the traditional barriers of app development." — Early Access reviewer

How Kineto Works: From Prompt to App

The App Generation Process

The Kineto AI platform follows a streamlined process that transforms your idea into a working application:

#### 1. Describe Your Vision

The journey begins with a detailed description of your app idea. The more specific you are, the better results you'll get. A good prompt includes:

• The app's primary purpose
• Key features and functionality
• User types and their actions
• Data that needs to be stored
• Visual preferences (if any)

Example prompt:

I want to create a plant care app called "Green Thumb" that helps users track their houseplants. Users should be able to add plants with photos, names, species, and acquisition dates. The app should track watering schedules, fertilizing schedules, and repotting needs. Users should get notifications when care is due. They should also be able to log care activities and take progress photos. The app should have a clean, modern interface with a green and white color scheme.

#### 2. AI Analysis and Generation

Once you submit your prompt, Kineto's GPT-5-powered engine analyzes your requirements and begins generating your application:

1. Requirements analysis: The AI identifies key features, data structures, and user flows

2. Architecture design: It creates the overall structure of your application

3. Frontend generation: User interfaces are designed and implemented

4. Backend development: Server-side logic and API endpoints are created

5. Database design: Data models and relationships are established

6. Integration: All components are connected into a cohesive application

This process typically takes around 20 minutes, during which you can see real-time updates on the generation progress.

#### 3. Preview and Refine

After the initial generation, you'll see a preview of your application. This is where the iterative process begins:

• Test functionality: Explore your app to see if it meets your expectations
• Provide feedback: Tell Kineto what you like and what needs improvement
• Request changes: Use natural language to describe desired modifications
• Refine details: Adjust colors, layouts, features, and workflows

The Meta Layer interface makes this refinement process intuitive, allowing you to have a conversation about your app rather than struggling with technical details.

#### 4. Publish and Share

Once you're satisfied with your application, publishing is just a click away:

1. One-click deployment: Publish your app to JetBrains' hosting infrastructure

2. Custom domain setup: Connect your own domain if desired

3. Share access: Invite users or make your app publicly available

4. Monitor usage: Track basic analytics about your app's performance

The entire process—from initial prompt to published app—can be completed in under an hour for simple applications, though more complex apps may require additional refinement cycles.

Behind the Scenes: The Technical Magic

While users don't need to understand the technical details, the Kineto AI platform performs some impressive feats behind the scenes:

1. Natural language processing: GPT-5 parses your requirements into structured specifications

2. Code generation: The AI creates clean, optimized code for all application layers

3. UI/UX design: Interface elements are generated following modern design principles

4. Testing and validation: Generated code is automatically tested for functionality

5. Optimization: Performance enhancements are applied before deployment

6. Security hardening: Basic security measures are implemented automatically

The result is a professional-quality application that would typically require a team of developers, designers, and QA specialists to create.

Kineto vs Other No-Code and AI Tools

In the rapidly evolving landscape of no-code platforms and AI development tools, the Kineto AI platform occupies a unique position. Here's how it compares to other solutions:

Comprehensive Comparison Table

|---------|-------------------|-----------------------------------|-------------------------------------|------------------------------------------|

Kineto vs Traditional No-Code Platforms

Traditional no-code platforms like Bubble, Adalo, and Webflow have democratized app creation to some extent, but they still require users to learn their specific interfaces, components, and workflows. Here's how Kineto differs:

Traditional No-Code Platforms:

• Require learning platform-specific visual builders
• Users must understand database relationships and workflows
• Building complex logic often requires workarounds
• Time-consuming to master and implement designs
• Can create more complex, multi-feature applications

Kineto AI Platform:

• Natural language interface requires no special learning
• AI handles database design and relationships automatically
• Complex logic implemented through conversation in Meta Layer
• Rapid generation with minimal time investment
• Currently focused on simpler "single value" applications

For many users, especially those without technical backgrounds, Kineto's approach eliminates the significant learning curve associated with traditional no-code tools.

Kineto vs AI Code Assistants

AI code assistants like GitHub Copilot and Try Claude by Anthropic are powerful tools for developers, but they serve a different purpose than Kineto:

AI Code Assistants:

• Target professional developers and coders
• Generate code snippets and suggestions
• Require programming knowledge to use effectively
• Assist with coding rather than replacing it
• No built-in hosting or deployment

Kineto AI Platform:

• Targets non-developers with no coding experience
• Generates complete applications, not just code
• No programming knowledge required
• Replaces coding entirely for supported use cases
• Includes hosting and deployment

Kineto represents a higher level of abstraction, making app creation accessible to those who would never use a code assistant.

When to Choose Kineto

The Kineto AI platform is ideal for:

1. Non-technical creators who want to build apps without learning to code

2. Small businesses needing custom tools without developer resources

3. Entrepreneurs testing app ideas before significant investment

4. Individuals creating personal productivity or hobby tools

5. Content creators building platforms for their audience

However, Kineto may not be the best choice for:

• Complex, multi-feature enterprise applications
• Apps requiring highly specialized or unusual functionality
• Projects where complete control over code is necessary
• Applications that need to integrate with many external systems

For content creation to accompany your app, consider pairing Kineto with Try Copy.ai, an AI writing assistant that can help generate engaging text for your application.

Common Questions and Concerns About Kineto

Do I need coding skills to use Kineto?

No, the Kineto AI platform is specifically designed for users with no programming background. Unlike many "no-code" tools that still require technical understanding, Kineto uses natural language processing to interpret your requirements and generate complete applications without you needing to understand code, database structures, or API endpoints.

The entire interaction happens through conversation—you describe what you want, and Kineto builds it. The Meta Layer interface allows you to refine and customize your app through further conversation, not through coding or complex visual builders.

How complex can the apps be?

Kineto currently focuses on what JetBrains calls "single value" apps—applications with a clear, focused purpose and a defined set of features. These are not simplistic apps, but rather focused tools that solve specific problems well.

Some examples of what's possible include:

• Content management systems with user roles and publishing workflows
• Tracking applications with data visualization and reporting
• Booking and reservation systems with calendar integration
• Community platforms with user profiles and content sharing
• E-commerce stores with product catalogs and checkout processes

However, complex multi-feature applications like social networks with extensive functionality, enterprise-grade CRMs, or apps requiring unusual or highly specialized features may be beyond Kineto's current capabilities. JetBrains has indicated that support for more complex applications is on their roadmap.

Are apps created with Kineto production-ready?

Kineto generates production-ready prototypes that are functional and can be immediately deployed. However, as with any software, the definition of "production-ready" depends on your specific requirements and expectations.

The apps include:

• Responsive user interfaces that work on mobile and desktop
• Proper database structures with appropriate relationships
• Basic security features including user authentication
• Error handling and form validation
• Hosting on JetBrains' infrastructure

For many personal projects, small businesses, and initial MVPs, Kineto-generated apps are absolutely production-ready. For applications with strict regulatory requirements, extremely high traffic expectations, or mission-critical functions, you may want to have a developer review and enhance the generated code.

What about data security and hosting?

Hosting for Kineto-generated apps is managed by JetBrains, leveraging their experience as an enterprise software provider. While detailed security policies for Kineto specifically aren't yet public, JetBrains has a strong track record of security in their developer tools.

What we know so far:

• Apps are hosted on JetBrains' cloud infrastructure
• SSL certificates are provided automatically
• Basic user authentication is included
• Data is stored in secure databases

For applications with specific security requirements or compliance needs (like HIPAA or GDPR), you should contact JetBrains directly to discuss whether Kineto's current security features meet your requirements.

What is the pricing and availability?

Kineto is currently available in Early Access with a waitlist for initial users. JetBrains hasn't publicly disclosed pricing details yet, which is common for products in early access phases.

Based on JetBrains' pricing for other products, we might expect:

• A tiered pricing model based on app complexity or usage
• Potential free tier for simple personal projects
• Monthly subscription model rather than one-time purchase
• Business/enterprise plans with additional features

To join the Early Access program, you can sign up on the JetBrains website. Early access users will likely have input on pricing and features before the public launch.

Can I export or modify the code Kineto generates?

While the primary purpose of Kineto is to abstract away coding entirely, JetBrains has indicated that more technical users will have options for code access:

• View generated code for learning purposes
• Export code for hosting elsewhere (planned feature)
• Make manual modifications with appropriate technical knowledge
• Potential integration with JetBrains IDEs for advanced development

However, it's important to note that the main value proposition of Kineto is eliminating the need to work with code directly. The Meta Layer is designed to provide customization capabilities through natural language rather than code editing.

How does Kineto handle app updates and maintenance?

One advantage of the Kineto AI platform is simplified maintenance. When you want to update your app:

1. Describe the changes you want through the Meta Layer

2. Kineto analyzes your existing app and the requested changes

3. The AI implements the updates while preserving existing data and functionality

4. You review and approve the changes before they go live

This approach makes ongoing maintenance and updates accessible to non-technical users, eliminating the need to understand code or worry about breaking existing functionality.

JetBrains also handles infrastructure maintenance, security updates, and scaling automatically as part of their hosting service.

The Future of Kineto: Roadmap and Possibilities

While the Kineto AI platform is still in Early Access, JetBrains has shared some insights into their future plans:

Expanding Beyond Single Value Apps

JetBrains has indicated that future versions of Kineto will support increasingly complex applications. This expansion will likely happen gradually, with new capabilities added as the AI models and generation systems mature.

Potential areas of expansion include:

• Multi-feature applications with more complex workflows
• Integration with a wider range of external services and APIs
• Enhanced collaboration features for team-based development
• More sophisticated business logic and rules engines
• Advanced data analysis and reporting capabilities

Enhanced Customization and Control

The Meta Layer is expected to evolve with more powerful customization options:

• More granular control over UI components and styling
• Advanced workflow and business rule definition
• Custom integration capabilities with external services
• Expanded user role and permission systems
• Performance optimization controls

Integration with the JetBrains Ecosystem

As a company with a rich ecosystem of developer tools, JetBrains is likely to create synergies between Kineto and their existing products:

• Seamless transition from Kineto to IDEs for advanced development
• Integration with team collaboration tools
• Connections to their CI/CD and deployment solutions
• Shared asset libraries and components

Community and Marketplace Development

Successful platforms often evolve to include community contributions:

• Template marketplace for common app types
• Plugin ecosystem for extending functionality
• Component libraries for specialized industries
• Integration with third-party services and tools

For those interested in other AI-powered creative tools while waiting for Kineto's full release, Try Runway ML offers powerful video generation capabilities that complement app development for content creators.

Getting Started with Kineto: Early Access Guide

Joining the Early Access Program

If you're excited to try the Kineto AI platform, here's how to get started:

1. Sign up for the waitlist: Visit the JetBrains website and join the Kineto Early Access waitlist

2. Complete the questionnaire: Share information about your use case and background

3. Wait for approval: JetBrains is gradually expanding access to ensure quality support

4. Receive your invitation: You'll get an email with access instructions

5. Set up your account: Create your JetBrains account if you don't already have one

Early Access participants typically receive:

• Access to pre-release features
• Direct feedback channels to the development team
• Influence on the product's future direction
• Early adopter benefits (potential pricing advantages)

Preparing for Your First App

While waiting for access, you can prepare by:

1. Defining your app concept: Clearly articulate what your app should do

2. Listing key features: Identify the most important functionality

3. Sketching user journeys: Map out how users will interact with your app

4. Gathering visual references: Collect design inspiration

5. Identifying potential challenges: Consider edge cases and special requirements

The more clearly you can describe your vision, the better results you'll get from Kineto.

Learning Resources and Community

JetBrains is building a knowledge base for Kineto users:

• Official documentation and tutorials
• Video walkthroughs of the app creation process
• Community forums for sharing ideas and solutions
• Webinars and live demonstrations

These resources will help you maximize the value you get from the platform.

For those looking to enhance their app with professional-quality videos, Try Synthesia offers AI-powered video creation with virtual presenters that can explain your app's features.

Real-World Applications and Success Stories

While Kineto is still in Early Access, early users have already begun creating interesting applications. Here are some examples of what's possible:

Case Study: Local Bakery Ordering System

A small bakery wanted to streamline their special order process without expensive custom development:

• Challenge: Paper-based ordering system was error-prone and time-consuming
• Solution: Kineto-generated ordering app with product catalog, custom order forms, and scheduling
• Result: 40% reduction in order processing time, improved customer satisfaction
• Development time: Initial prototype in 25 minutes, refinements over 2 days

Case Study: Personal Fitness Journey Tracker

A fitness enthusiast created a personalized tracking tool:

• Challenge: Existing apps didn't track the specific metrics and goals they cared about
• Solution: Custom fitness tracker with personalized goal setting, progress photos, and custom metrics
• Result: Improved motivation and consistency with workouts
• Development time: 20 minutes for initial app, ongoing refinements as needs evolved

Case Study: Community Plant Exchange Platform

A neighborhood garden club created a platform for exchanging plants:

• Challenge: Coordinating plant swaps was difficult using social media and email
• Solution: Dedicated platform with plant listings, swap scheduling, and care information sharing
• Result: Increased participation and more successful plant exchanges
• Development time: Initial version in 30 minutes, refinements over a week

These early examples demonstrate the versatility of the Kineto AI platform for creating focused, practical applications that solve real problems.

For those who need to create marketing videos to promote their Kineto-built apps, Try Pictory can transform your text descriptions into engaging video content.

Expert Tips for Maximizing Kineto's Potential

Based on early user experiences and JetBrains' guidance, here are some best practices for getting the most out of the Kineto AI platform:

Crafting Effective Prompts

The quality of your initial description significantly impacts the app Kineto generates:

1. Be specific and detailed: Include all key features and functionality

2. Describe user journeys: Explain how different users will interact with the app

3. Mention design preferences: Include color schemes, styling, and mood

4. Prioritize features: Indicate which aspects are most important

5. Include examples: Reference similar apps or websites for inspiration

Example of a good prompt:

I need a recipe management app called "Family Recipes" that allows users to:
1. Add recipes with ingredients, instructions, photos, and serving sizes
2. Categorize recipes by meal type, cuisine, and dietary restrictions
3. Search and filter by ingredients or categories
4. Scale recipes up or down based on serving count
5. Create meal plans by assigning recipes to calendar dates
6. Generate shopping lists from meal plans

The app should have a warm, homey feel with earth tones and food photography. It should be easy for older users to navigate with clear, readable text. I'd like it to feel similar to the Paprika app but with a simpler interface.

Effective Meta Layer Interactions

The Meta Layer is your tool for refining and customizing your app:

1. Start with big-picture changes: Address major functionality issues first

2. Be specific about problems: Clearly describe what isn't working as expected

3. Ask questions: The AI can explain why certain choices were made

4. Request alternatives: Ask to see different approaches to solving problems

5. Provide examples: Show references for specific features you want to emulate

Example of effective Meta Layer dialogue:

User: The recipe page is too cluttered. I'd like a cleaner layout with the ingredients on the right side and instructions on the left.

Kineto: I'll reorganize the recipe page with ingredients in a sidebar on the right and instructions in the main content area on the left. Would you like me to add collapsible sections for each step of the instructions?

User: Yes, that would be helpful. Also, can you make it possible to check off ingredients as they're used?

Kineto: I'll add checkboxes to the ingredients list and make sure that state is saved for each user. Would you like the checked items to move to the bottom of the list or remain in place?

Designing for Your Users

Keep your end users in mind throughout the development process:

1. Consider accessibility: Ensure your app works for users with different abilities

2. Test on multiple devices: Check how your app looks on phones, tablets, and desktops

3. Get early feedback: Share prototypes with potential users

4. Iterate based on input: Use the Meta Layer to implement user suggestions

5. Focus on core value: Don't add features that distract from your app's main purpose

For those looking to enhance their app's content with AI-generated text, Try Copy.ai can help create engaging descriptions, instructions, and marketing copy.

Kineto's Impact on the Future of App Development

The Kineto AI platform represents more than just another no-code tool—it signals a fundamental shift in how software is created and who can create it.

Democratizing App Creation

Throughout computing history, we've seen waves of democratization:

• Personal computers made computing accessible beyond institutions
• The internet made publishing accessible to everyone
• Smartphones made photography and video creation universal
• Social media democratized content distribution

Kineto and similar AI-powered platforms are now democratizing app development, enabling anyone with an idea to create software without technical barriers.

Changing the Developer Landscape

As AI-powered tools like Kineto evolve, the role of developers will change:

• Focus shifting from implementation to architecture and innovation
• Increased collaboration between AI systems and human developers
• New specializations in AI-assisted development and prompt engineering
• Greater emphasis on user experience and problem-solving

Rather than eliminating development jobs, these tools will likely transform them, allowing developers to focus on more complex and creative aspects of software creation.

Enabling the Creative Dev Economy

JetBrains envisions Kineto enabling what they call the "creative dev economy"—a world where individuals can easily create and monetize niche applications:

• Content creators building custom platforms for their communities
• Small businesses developing specialized tools for their industries
• Entrepreneurs testing ideas without significant technical investment
• Communities creating solutions for their specific needs

This could lead to a flourishing ecosystem of highly specialized, focused applications that wouldn't be commercially viable under traditional development models.

FAQ: Everything You Need to Know About Kineto

What is the Kineto AI platform?

The Kineto AI platform is an AI-powered no-code tool developed by JetBrains that enables users to create web applications through natural language prompts. Launched in August 2025, it uses OpenAI's GPT-5 model to generate complete, functional web apps without requiring any coding knowledge. Kineto specializes in creating "single value" apps—focused applications that solve specific problems—and includes hosting and deployment capabilities.

How does Kineto work for no-code app development?

Kineto works by transforming natural language descriptions into fully functional web applications:

1. You describe your desired app in detail using plain English

2. Kineto's AI (powered by GPT-5) analyzes your requirements

3. The platform generates a complete application stack including frontend, backend, and database

4. You can refine and customize your app through the Meta Layer chat interface

5. Once satisfied, you can publish your app with JetBrains' hosting service

The entire process typically takes about 20 minutes for the initial prototype, with additional time for refinements.

Can I build apps without coding using Kineto?

Yes, that's the core purpose of the Kineto AI platform. Unlike many "no-code" tools that still require learning specific interfaces or understanding technical concepts, Kineto is designed for true no-code development. You interact with the platform entirely through natural language, describing what you want your app to do rather than how to implement it.

This makes Kineto accessible to:

• Creative professionals with no technical background
• Small business owners without development resources
• Entrepreneurs testing ideas quickly
• Individuals creating personal tools
• Educators developing learning resources

No programming knowledge is required at any stage of the process.

What types of apps can I create with Kineto?

Kineto specializes in "single value" apps—focused applications that solve specific problems well. These include:

• Content platforms: Blogs, portfolios, knowledge bases
• Tracking tools: Habit trackers, fitness logs, plant care apps
• Management systems