Glowbom

A one-sentence summary

Glowbom is an AI development platform that enables the transition from sketches to software: users can draw the interface and specify textual requirements, after which an interactive prototype as well as code for iOS, Android, and the Web are generated; further improvements can then be made using local open-source coding tools.

Tool Introduction

Glowbom is operated by Glowbom, Inc., and its products include web-based canvases, cloud-based generation services, Glowbom OSS for local workflows, as well as a macOS desktop application that is still in its early stages. It aims to help individual developers and product teams turn their ideas into functional projects quickly.

The official documentation still uses the old name Glowby OSS on some pages, while the GitHub repository indicates that the project has been renamed to Glowbom OSS. The old commands and compatibility features remain, but users should follow the information provided in the current repository.

“No programming required” is suitable for describing the initial stage of developing a prototype; it does not mean that no engineering skills are needed for deploying the product in production. Certification, payment processing, databases, security, testing, store approval, and ongoing maintenance still require the involvement of developers.

Main functions

Generate a prototype from a sketch

Users can draw interface sketches on the Magic Window canvas and add textual descriptions to elaborate on the functions and content. After clicking Build, the system generates an image, code, and a prototype that can be operated in a browser.

Multi-platform code translation

The prototype can be converted into SwiftUI, Jetpack Compose, and Next.js projects, designed for Apple, Android, and the Web respectively. The need for cross-platform compatibility does not mean that the three sets of code have to be identical; each platform still requires separate testing.

Export of project source code

Glowbom allows users to export the generated code, while Creator offers unlimited exports of projects and code. The code is saved locally in standard project files, which can be further edited using Xcode, Android Studio, or VS Code.

Glowbom OSS local proxy

Glowbom OSS is a free, open-source coding proxy workflow that allows users to load Glowbom projects or other project structures, and it runs the backend and web interface on the local machine. It uses OpenCode to connect different models, and it displays real-time logs as well as information related to permission issues.

Synchronize changes across codebases

The local proxy can handle the Apple, Android, and Web directories within a project simultaneously, enabling subsequent tasks to be carried out across multiple targets. Actual consistency still depends on guidelines, models, the existing architecture, and test coverage.

Multiple models and built-in keys

Glowbom OSS supports the use of existing OpenCode configurations, ChatGPT login, built-in API keys, free cloud models, or Ollama local models. The availability of specific models, subscription requirements, and pricing are determined by the respective providers.

Local file context

Users can attach local files to the build instructions; each file may not exceed 40MB in size, in order to help the agent understand the design specifications or project-related materials. Do not attach production keys, personal data, or customer files for which access is not permitted.

AI applications and agents

The official website lists applications related to OpenAI, Anthropic, xAI, and Google AI as possible areas for development. It indicates that it is possible to create apps that make use of these models, but it does not mean that the Glowbom package covers all costs associated with calling third-party services.

Simple games and custom stacks

The document explicitly lists simple games, prototypes, and MVPs, while the official website marks Godot and Custom Stack as Coming Soon. At present, Godot, Python, Go, or any other technology stack should not be considered as standard options that are already ready for use.

Product composition

Supported code targets

The complete process from sketch to code

1. Open the canvas on the Glowbom website and draw out the core pages and main interactions.
2. Add the requirements regarding users, platform, navigation, data, and visuals in the description box.
3. Click Build to generate a prototype, and test the workflow page by page in the browser.
4. Adjust the layout, text, and interactions, then select the iOS, Android, or Web target.
5. Export the standard project file and create a version control repository on the local machine.
6. Install Go, Bun, and OpenCode required for Glowbom OSS, and run an environment check.
7. Load the project, select the model connection method, and create a list of production tasks.
8. Oversee agent modifications, and review differences, permissions, logs, and tests on a step-by-step basis.
9. Compile, test, and sign in Xcode, Android Studio, or a web environment.
10. Release it only after improving the backend, security, privacy, store materials, and monitoring.

Usage tutorial

Create the first web page prototype

1. First, define a minimum viable product that consists of only two to three pages.
2. Draw the locations for the home page, main buttons, lists, and detail pages on the canvas.
3. Add target users, button behaviors, colors, and example content, avoiding a focus solely on the appearance.
4. After it is generated, click on each item one by one to record any missing elements, incorrect navigation, and issues related to mobile use.
5. Adjust the sketches and descriptions until the prototype process meets the desired requirements.
6. Select the Web target to export the Next.js project and add it to Git management right away.

Use Glowbom OSS to enhance the project.

1. Prepare Go, Bun, and OpenCode in a controlled environment, and first review the installation scripts.
2. Check the operating environment and ensure that all commands are available before starting the local service.
3. Load the project directory, and choose to log in using ChatGPT, an API Key, OpenCode settings, or a local model.
4. Break down the requirements into smaller tasks, and attach any necessary local files whose size does not exceed 40MB.
5. By monitoring real-time logs, only grant the file and command permissions necessary to complete the task.
6. After each round, check the Git differences, run tests, and submit a rollbackable version.

Maintain three-terminal projects simultaneously

1. Retain the Apple, Android, Web, and prototype directories, and define a list of shared functions.
2. First, have the agent explain the current structure and differences among the three endpoints, and then propose unified changes.
3. It is required to generate implementations and tests using SwiftUI, Compose, and Next.js separately.
4. Compile on each platform individually, and check navigation, permissions, offline functionality, dark mode, and accessibility.
5. Do not assume that the behavior at one end is the same as that at the other just because one end has passed.
6. Release and monitor separately, while maintaining cross-platform acceptance test cases.

Which users are it suitable for

• Independent developers: Quickly create a framework for cross-platform projects from interface sketches.
• Product managers and designers: turn ideas into clickable prototypes and export the code.
• Small startup teams: After validating the MVP, engineers proceed with full-scale production.
• Educational and learning users: Observe the implementation of the same interface in SwiftUI, Compose, and Next.js.
• Developers who place importance on code ownership: use local open-source proxies and standard project files.
• Multi-model users: Choose different providers via OpenCode, API Key, or Ollama.

Typical use cases

• Draw the mobile application workflow and generate iOS and Android prototypes.
• Export the clickable prototype as Next.js code, and then integrate it with a real backend.
• Use a local proxy to add testing, authentication, status management, and error handling to the generated project.
• Have multiple models attempt to solve the same coding problem and compare the differences.
• Without using cloud models, tasks that can be executed locally are processed through Ollama.
• Copy the default open-source project to study locally without logging in to the Glowbom website.

Product advantages

• Sketches, natural language, browser prototypes, and multi-platform code form a continuous workflow.
• It provides official support for three types of native projects: SwiftUI, Jetpack Compose, and Next.js.
• Creator allows unlimited exports of projects and code, thereby reducing the risk of being locked in to a particular platform.
• Glowbom OSS is released under the MIT license; the generated code and projects are saved on the local machine.
• Supports ChatGPT login, built-in keys, OpenCode configuration, free models, and Ollama.
• By default, the local backend is connected only to the loopback address, and an authentication token is generated for each execution.
• The same project template includes directories for Apple, Android, Web, and prototypes, facilitating cross-platform maintenance.

Usage restrictions and precautions

• Godot and the custom technology stack are still marked as Coming Soon, so they cannot be considered official commitments.
• Glowbom Desktop is designed for macOS and is still in the early access phase or awaiting further development.
• Free only indicates that free AI credits are included, but the exact amount is not disclosed.
• The monthly fees for Creator and Pro do not include costs associated with third-party models that exceed the allocated quota.
• Code generated by AI may be unsafe, uncompilable, or not comply with store rules, and it must be tested.
• Windows requires WSL to run Glowbom OSS, while Linux can run it natively.
• Access to ChatGPT and third-party models is subject to respective subscriptions, terms of service, and regional restrictions.
• Cloud platforms may store the current generation; for sensitive data, it is necessary to understand the boundaries of such data.
• An open-source workflow does not mean that the Glowbom website, commercial subscriptions, and the entire ecosystem are all open source.

Prices and packages

The following are the dollar prices listed on the Glowbom website as of August 22, 2026. The Creator and Pro plans require monthly payment by default; however, an annual payment option is available at a 40% discount during settlement. The costs associated with third-party AI providers are separate.

The 40% annual discount is calculated based on the public monthly price; the annual fees for Creator and Pro plans are approximately 144 and 288 dollars respectively. Actual taxes, promotions, pricing for different usage levels, and renewal costs are as indicated on the settlement page.

Differences in packages

Glowbom OSS Installation and Requirements

Model and connection method

The specific model versions listed in the document will change as OpenCode and the providers make updates. When selecting a model, it is necessary to rely on the list that is available after authentication, and to evaluate the model’s coding capabilities, context, price, and data policies.

Local security mechanisms

By default, Glowbom OSS binds the services to the local loopback address rather than all network interfaces, and generates a random authentication token for each backend instance. The credentials are stored in memory, while the communication between the web interface and the backend takes place via a local Vite proxy.

• Do not change the bound address to all network cards arbitrarily just for remote access.
• The API key should be retrieved from the environment or key management system, and not submitted to Git.
• Before starting up, review the installation script and its dependencies, especially those commands that require administrator privileges.
• Restrict the agent’s permissions to write in directories and execute commands, while retaining the differences and logs from each Git cycle.
• Local models may also read project files; it is necessary to separate customers from personal sensitive data.
• The generated application must undergo checks regarding dependencies, keys, permissions, inputs, and supply chain security.

Code ownership and open-source status

According to the official documentation, users have the right to create content, with the code being stored on their own machines as well as in standard project files. The Glowbom OSS repository is licensed under the MIT license, allowing it to be copied, modified, and distributed in accordance with that license.

Data, Privacy, and Third-Party AI

The terms and conditions specify that some experiences make use of local or device storage; the logged-in user’s current session is stored in Glowbom’s cloud service, so that it can be restored, continued, or imported/exported across different experiences. This stored data can be replaced when it is deleted, overwritten, or a new version is created.

Glowbom, Glowby and related functions may make use of third-party AI services such as OpenAI, Anthropic, Google, xAI, etc.; the providers and models used can change. Users must comply with the policies and pricing rules of those respective services.

• Cloud canvases should not contain customer secrets, real keys, or regulated personal data.
• Before selecting a model, check the settings for training, retention, as well as data protection at the regional and enterprise levels.
• Using Ollama allows model inference to take place on the local device, but the dependencies and the project itself still require secure management.
• Logging in with Apple or Google involves the processing of data by the respective identity services.
• You may request access to, correction of, or deletion of personal data in accordance with the relevant provisions, and have records of such processing kept.
• Export the local project and any necessary audit materials before deleting the current generation.

Refunds, accounts, and legal terms

APIs and developer capabilities

The main deliverables provided by the primary developers of Glowbom are the exported standard code and the Glowbom OSS; there is no public REST API available for use by third-party applications. No complete public API that allows third-party apps to call Glowbom’s cloud-based generation services has been identified.

Basic information

Recommendation score

Recommendation score: 4.2 / 5. Glowbom combines sketch prototypes, multi-platform code export, and local open-source proxies; it offers clearer ownership of the code and greater flexibility for editing compared to generators that only provide hosted pages.

The shortcomings include a still-evolving product naming system, some features not yet available, unclear information regarding the free usage quota, and the fact that a solid engineering capability is required for production use. It is suitable for testing in small projects, but not appropriate for releasing high-risk applications without proper review first.

Frequently Asked Questions

What is Glowbom?

It is an AI development platform that converts hand-drawn interfaces and textual descriptions into interactive prototypes and code for multiple platforms, and it offers a local open-source agent to further improve the projects.

What is the relationship between Glowby and Glowbom OSS?

Glowbom OSS was formerly known as Glowby OSS, and some official documents still use the old name. The GitHub repository indicates that the old projects as well as the transition commands continue to be supported.

Is Glowbom free?

The web version offers a free plan that includes a limited amount of free AI credits as well as the core workflows, though the exact amount is not specified. Glowbom OSS is itself free and open-source.

How much are Creator and Pro?

Creator costs $20 per month, while Pro costs $40 per month. Paying annually saves 40%; based on the monthly rates, the annual cost is approximately $144 for Creator and $288 for Pro.

Which platform codes will be generated?

Currently, SwiftUI, Jetpack Compose, and Next.js are explicitly supported, corresponding to Apple, Android, and the Web. Godot and custom stacks are still marked as Coming Soon.

Is it possible to do this without any programming at all?

Prototypes can be created quickly using sketches, but for production applications, engineers are still needed to handle the backend, security, testing, signing, store approval, and maintenance.

Does the code belong to the user?

According to the official documentation, users possess the code, and the content generated by Glowbom OSS is also saved in standard local files. Rights regarding third-party frameworks, assets, and models still need to be checked separately.

Is Glowbom open source?

It needs to be understood separately. Glowbom OSS is released under the MIT license, but the Glowbom web platform and its commercial services are not fully open source.

Can Windows run?

Glowbom OSS can run in the WSL environment of Windows; Ubuntu is recommended by the developers. It is natively supported on Linux, and it can also run directly on macOS.

Is local modeling supported?

It supports using local models via Ollama; it is also possible to reuse OpenCode configurations, log in with supported accounts, or use built-in API keys.

Are third-party AI costs included in the package?

Creator and Pro come with a certain amount of Glowbom AI Credits, but custom models, API accounts, or third-party services may incur additional fees.

Are public APIs available?

No complete public API that allows third-party applications to utilize Glowbom’s cloud-based generation services has been identified. The capabilities available to developers are mainly limited to exporting source code, using the OSS CLI, and working with local backends.

Has Glowbom Desktop been officially released?

The official page still states “Waiting for Glowbom Desktop,” and the documentation refers to it as an early access version for macOS. At present, the web version and Glowbom OSS should be used; the desktop version is not considered a fully released version.

Can AI-generated applications be launched directly?

It cannot be assumed directly. Users must carry out compilation, testing, as well as checks regarding security, privacy, copyright, signing, and the policies of various app stores.

Summary

Glowbom is suitable for quickly turning product sketches into a framework for three-terminal projects, with ongoing modifications possible through local open-source proxies. Creator and Pro offer more capacity and support for cloud-based creation, while OSS allows for local control over the code and selection of models.

At the beginning, it is advisable to choose small, non-sensitive applications in order to verify the quality of the code, the cost of the models, and the consistency across different platforms. Before deployment, professional engineering review is still necessary, along with clear specifications regarding cloud-based generation, third-party AI services, licensing requirements, and refund policies.