Bubble

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Bubble is an AI-powered, no-code platform for building and hosting web applications and native mobile applications. It brings interface design, a database, business logic, integrations, and deployment into one visual development environment. Builders can start from a natural-language description, a template, or a blank project, then inspect and modify the resulting application through visual tools.

Bubble combines two approaches to software creation: AI-assisted building and visual programming. AI can help create and change an application, while the visual editor provides direct control over its elements, data, and workflows. This makes Bubble relevant to founders building a first product, teams developing internal tools, and professional developers delivering applications for clients. No-code reduces the need to write conventional application code; it does not remove the need to understand requirements, access permissions, data relationships, and testing.

There are also two distinct meanings of AI in Bubble. Bubble's own AI tools assist the person building the software. Separately, an application can connect to external language models and other AI services to provide chat, summarization, classification, or content generation to its users. These user-facing services require their own integrations and may have separate charges.

Bubble's October 6, 2026 release introduced Agent 2, an updated AI assistant available across new and existing applications, and the Bubble MCP public beta for connecting external AI agents. Native mobile development supports iOS and Android experiences with a shared Bubble backend; the mobile product page continues to identify that offering as beta. Product status and plan details below were reviewed on November 1, 2026.

Sources: Platform overview; AI documentation; October 2026 announcement.


Bubble brings AI-assisted creation and visual programming together: describe an application, inspect how it works, and refine its interface, data, and behavior in the same platform.


Mechanisms

A Bubble application connects an interface to stored data and event-driven workflows. A page might display a list of equipment available to borrow; a workflow might create a loan request when a user clicks a button; a database record might track the borrower, due date, and approval status.

Dynamic expressions connect interface properties and actions to information in the application. An expression can display the current user's name, filter a list, or determine whether a condition is satisfied. Workflows describe the actions that follow an event, including changes to records and calls to external services.

Bubble separates development and live databases. Builders should therefore check which environment contains the records they are inspecting or changing, and test with representative development data before publishing changes.

Sources: Platform features; Data tab and application environments.

AI Generation and Editing

Bubble's app generator accepts a description of the intended product and helps establish its initial features. The resulting application remains editable in Bubble.

The AI Agent can also work on an existing application. Current documentation describes changes across design, data, logic, and integrations, with a plan the builder can approve or cancel. Selecting particular components provides context for a targeted request.

A productive sequence is to define one user journey, generate or build it, test it, and then request smaller improvements. For example, after creating a loan-request application, ask the Agent to add an overdue filter or explain the approval workflow.

Generated results still require review. A convincing interface does not establish that the application handles duplicate submissions, unauthorized users, failed API requests, or conflicting updates correctly.

Resources: AI app generation; Editing apps with AI.

APIs, Plugins, and External AI

The API Connector makes outgoing requests to compatible JSON-based REST APIs. It can fetch information or ask another service to perform an action. Plugins provide packaged integrations and additional functionality.

Bubble also exposes APIs for incoming requests:

  • Data API: Allows authorized external systems to search, read, create, modify, and delete exposed database records.
  • Workflow API: Allows external systems to trigger exposed application workflows.

These interfaces enable a Bubble application to coordinate with an AI service, payment provider, customer-management system, or specialized backend. They do not make every third-party service automatically compatible: authentication, request formats, errors, and limits still need configuration.

Resources: API Connector; Bubble API; Plugin directory.

The Physics

The practical constraints of visual application development concern processing, data access, network behavior, and platform dependence:

  • Workload: Bubble measures application server activity in workload units, or WU. Searches, workflows, and data operations contribute to usage; user count alone is not a reliable cost estimate.
  • Latency: An external AI request adds its own processing and network time. The application needs suitable loading states and failure handling.
  • Permissions: Privacy rules control access to data, but do not automatically authorize every workflow action. Mutation workflows need appropriate conditions.
  • Secrets: API credentials should use supported private configuration fields rather than client-visible values.
  • Portability: Bubble applications depend on Bubble's runtime. Exporting records or an application definition is different from exporting an independently deployable codebase.
  • AI accuracy: Generated application changes and model-generated content require verification against the intended behavior.

These constraints suggest a practical approach: measure representative workflows, test access with multiple user roles, and validate a complete user journey before expanding the application.

Sources: Workload; Privacy rules; API security; Export and ownership FAQ.

Why This Matters

Bubble combines the speed of AI-assisted creation with an application structure that builders can inspect visually. This creates opportunities for people who understand a business problem but do not want to maintain a conventional frontend, backend, and hosting stack.

The following are practical implications of that approach:

  • Product experimentation: A small team can test a usable workflow before committing to a larger implementation.
  • Business-specific software: Teams can model their own requests, approvals, records, and dashboards.
  • AI product development: The application layer can manage users and workflows while external services perform inference.
  • Shared web and mobile services: Multiple interfaces can use a common backend.
  • Iterative maintenance: Builders can alternate between conversational requests and direct visual changes.

The tradeoff is reliance on Bubble's platform, pricing, and supported capabilities. Choosing it is an architectural decision as well as an interface preference.

Building Blocks

Component What It Does Notes
Visual interface editor Creates screens, layouts, and reusable interface elements. Responsive web layouts and native mobile interfaces require appropriate testing.
Database Stores application records and relationships. Data types and fields should reflect actual business concepts.
Dynamic expressions Connects displayed values and conditions to application data. Used throughout interfaces and workflows.
Workflows Defines actions triggered by events. Can coordinate data changes and external service calls.
Backend processing Supports server-side and scheduled work. Useful for tasks that should not depend on an open browser page.
Privacy rules Controls visibility, search access, attached-file access, and auto-binding permissions. Workflow mutations also require appropriate authorization conditions.
API Connector Calls external REST services. Authentication and response handling must match the provider.
Data API and Workflow API Exposes selected data operations and workflows to external systems. Access depends on API configuration and authentication.
Plugins Adds integrations, elements, and actions. Check maintenance, cost, and web/mobile compatibility.
AI app generation Produces an initial application from a description. Review generated structures before production use.
AI Agent Helps edit and troubleshoot an application. Generated changes remain accessible through the visual editor.
Bubble MCP Connects compatible external AI agents to Bubble. Public beta; launch restrictions include no log reading, branch merging, or deployment.
Hosting and deployment Runs the application on Bubble's infrastructure. Production capabilities depend on the selected plan.

Resources: Features; Manual; Agent and MCP announcement.

Getting Started

  1. Choose a narrow problem: Define one audience and one complete task, such as submitting and approving an equipment loan.
  2. List user roles: Identify what members, staff, and administrators should each see and change.
  3. Choose the experience: Decide whether the initial product needs a web interface, native mobile interface, or both.
  4. Create the starting application: Use an AI prompt, a template, or a blank project.
  5. Review the data model: Check records, relationships, statuses, and ownership fields before adding many screens.
  6. Complete one workflow: Connect the form, saved record, confirmation, and management view.
  7. Configure access: Set privacy rules and action permissions; verify them with separate test accounts.
  8. Connect external services: Add only the integrations required for the first working version.
  9. Handle failures: Test missing input, duplicate actions, unavailable services, and unauthorized requests.
  10. Measure usage: Inspect workload for realistic operations and track external service costs.
  11. Publish and observe: Deploy using the appropriate plan, review errors and feedback, and make focused improvements.

Illustrative starting prompt:

Build a web application for a neighborhood equipment library. Members browse items and request loans. Volunteers approve requests and record returns. Include item categories, availability, due dates, and a member dashboard. Members may view only their own requests; volunteers may manage all requests. Use a clear layout with readable text and obvious status labels.

After generation, test the access rules and loan-status transitions explicitly. The prompt is a specification to verify, not evidence that those requirements have been implemented correctly.

Resources: Bubble Academy; Bubble Manual.

Examples

Documented Applications

These examples come from Bubble's published customer stories. They demonstrate reported implementations rather than independently audited performance claims. Historical revenue and user counts are intentionally omitted.

  • My AskAI: A customer-support AI product using a Bubble application alongside an AI backend and support integrations. Bubble's May 31, 2024 case study describes the founders' shift toward customer support and human handoff. Read the case study
  • Faceless.video: An AI-driven SaaS product combining no-code development and integrations for video-content creation. Bubble published its case study on February 14, 2025. Read the case study
  • Seagate: Internal and customer-facing applications supporting activities such as device provisioning and subscription management, documented in a February 12, 2024 customer story. Read the case study

More examples: Bubble customer showcase.

AI Applications

A Bubble application can provide the interface, accounts, records, and workflows surrounding an external AI service.

Suggested patterns include:

  • Support assistant: Collect a question, retrieve approved information, display an answer, and provide a human escalation path.
  • Document workspace: Track uploaded files, processing jobs, summaries, and reviewer decisions.
  • Content drafting: Store a brief, request draft material, and manage revisions and approval.
  • Request classification: Suggest categories or priorities while retaining a way for staff to correct them.
  • Research organizer: Keep questions, source links, notes, and generated summaries together.

These are proposed architectures rather than built-in, one-click Bubble products.

Source: External AI integrations.

Retrieval-Augmented Generation

Retrieval-augmented generation (RAG) combines retrieval of relevant information with AI response generation.

Suggested Bubble implementation:

  1. Store or index approved documents in a suitable retrieval system.
  2. Receive a user's question through the application.
  3. Retrieve passages within that user's authorized scope.
  4. Send the question and passages to a language model.
  5. Display the response with source links.
  6. Capture corrections and escalate questions the system cannot answer reliably.

Bubble can coordinate the interface and workflow, but this design does not imply that its standard database automatically provides vector search, document parsing, embeddings, or a complete RAG service. Those components require an appropriate integration.

Treat retrieved documents as content rather than instructions. Preserve source identifiers, restrict access before retrieval results reach the model, and provide a useful fallback when evidence is missing.

Internal Tools and Customer Portals

Suggested projects include approval queues, service-request trackers, client portals, and operational dashboards. Begin with explicit roles, clear record ownership, and a small number of status transitions.

For example, a service portal could let a customer submit a request, a coordinator assign it, and a technician update progress. An AI integration could suggest a summary or category without being granted authority to close the request automatically.

Web and Native Mobile

Bubble's native mobile builder supports iOS and Android applications based on React Native. Its product page lists native interface components, camera and location access, push notifications, and in-app purchases. BubbleGo allows testing on a physical device.

Web and mobile experiences can share a database and backend workflows. However, sharing a backend does not remove the need to design mobile navigation, configure device permissions, or test each platform.

Publishing a native application also involves Apple or Google developer accounts, submission requirements, and store review. Bubble's deployment workflow does not guarantee store acceptance.

Sources: Native mobile features; Publishing native applications.

Sample Requests

The following are illustrative requests for Bubble's AI building tools. They are not commands that guarantee a particular result. Break larger requests into smaller changes and review each result.

Request Intended Change What to Verify
"Create a dashboard showing my outstanding loan requests." A user-specific list with statuses and due dates. Users cannot retrieve another member's private records.
"Add an overdue filter to the volunteer dashboard." A filter based on due date and return status. Returned items are excluded and date boundaries behave correctly.
"Explain the workflow behind this Approve button." An explanation of the selected workflow. Compare the explanation with the actual actions and conditions.
"Connect this form to an external summarization API." An integration and workflow that requests a summary. Credentials, consent, input limits, failure handling, and cost.
"Create a mobile view showing my saved items." A native screen backed by existing records. Navigation, loading states, and account isolation on a device.
"Add an approval step before generated content is published." A draft/review/published workflow. Only authorized reviewers can publish; rejected drafts remain unpublished.

Pricing and Operating Costs

Bubble separates the resources used to build with AI from the resources used to run an application.

  • Application plans: Determine deployment capabilities and included features.
  • Workload units: Measure server resources consumed by application operations.
  • AI credits: Meter use of Bubble's AI building features.
  • External charges: AI providers, paid plugins, and other services may bill separately.

At the November 1, 2026 review, the published web-only Starter price was US$39 per month on monthly billing, or US$32 per month billed annually. Mobile and combined web/mobile plans should be checked separately.

Bubble's pricing page states that generating a new application currently does not require AI credits. Editing visually does not consume AI credits. Paid plans can purchase additional credits; included allowances and add-on terms may change.

For planning, measure a realistic workflow rather than estimating cost from registered users alone. Database operations, repeated searches, bulk processing, and external inference can have very different cost profiles.

Sources: Current plans and allowances; Workload documentation.

Known Limitations

  • Platform dependence: Bubble applications run on Bubble's platform. A JSON application-definition export is not an independently runnable conventional codebase. Data export and application migration are separate tasks.
  • Learning curve: Visual programming still requires an understanding of records, relationships, conditions, and workflows.
  • AI-generated errors: Generated changes may misinterpret requirements or omit edge cases. Test outcomes rather than relying on the Agent's description.
  • Mobile beta: The native mobile product page remains labeled beta at the review date. Confirm required capabilities before committing to a mobile implementation.
  • MCP beta: The October 2026 launch documentation excludes log reading, branch merging, and deployment from Bubble MCP.
  • Integration constraints: External services impose their own authentication methods, quotas, response times, and charges.
  • Plugin dependencies: A plugin may add recurring cost or maintenance risk. Check publisher support and platform compatibility.
  • Access-control configuration: Privacy rules and workflow permissions need deliberate testing. Hiding a button does not secure the underlying operation.
  • Operating cost: Workload consumption and external AI costs depend on actual application behavior.
  • Publishing requirements: Native application distribution depends on store policies, developer accounts, and approval.

Sources: Ownership and export; Mobile status; MCP limitations; Data protection.

Security and Data Handling

Bubble's security materials describe SOC 2 Type II compliance, encryption in transit and at rest, and a security dashboard that identifies common application configuration issues. These platform capabilities do not replace an application's own permission design.

Review access to sensitive fields, private files, exposed APIs, and administrative credentials. When integrating an AI service, identify what information leaves Bubble and what the receiving service does with it.

For multi-user applications, test with an anonymous visitor, an ordinary user, another ordinary user, and an administrator. Confirm both what each account can see and what it can change.

Resources: Security overview; API Connector security.

History

Recent Developments

  • June 2025: Bubble's community update announced the native mobile builder's June 10 public beta launch. June community update
  • December 16, 2025: Bubble announced that AI mobile app generation had completed its rollout to all users while remaining in beta. That release's mobile generation created interfaces, sample data, and dynamic expressions, but did not yet generate workflows. This is a historical limitation, not a current platform-wide restriction. Product announcement
  • August 4, 2026: Bubble expanded the AI Agent's native mobile editing to include workflows and data. The release also described API connection setup, plugin installation, reusable components, and issue-checker fixes. Mobile AI update
  • October 6, 2026: Bubble announced Agent 2, its availability across new and existing applications, the Bubble MCP public beta, and AI-credit billing for relevant building features. Agent 2 was described as out of beta. Agent 2 announcement
  • October 20, 2026: The announced web-only Starter pricing change took effect, setting monthly billing at US$39 or the annual-billing equivalent at US$32 per month. Pricing announcement

Further Resources

Additional Viewing

Load video
YouTube

Build Apps in Minutes | Bubble AI for Mobile + Web demonstrates AI-assisted web and mobile application creation. It provides a visual introduction to prompting and the Bubble development experience. As a December 2025-era demonstration, it should be read alongside the later mobile AI and Agent 2 release notes rather than used as the final authority on current limits. Watch on YouTube

References

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