
What is Base44?
Base44 is a platform for building applications, websites, and AI agents using natural language conversation. It was founded by Maor Shlomo and joined Wix in June 2025.Official Announcement Regarding the Acquisition of WixNote that Base44 will continue to operate as a standalone product and business. It aims to allow users to first describe their business objectives, after which AI will generate the interface, structure, and logic, while also providing common foundational capabilities such as databases, user login, and hosting. For entrepreneurs and business professionals who lack a full-fledged development team, this approach can shorten the path from an idea to a functional prototype.
core functionality
Users can interactively adjust pages, forms, menus, data fields, and interaction flows within the editor and view the changes in the preview area. The platform provides backend and database capabilities, identity authentication, cloud storage, analytics dashboards, visual editing, and collaboration features, and also supports integration with common business services. Suitable plans also offer options such as code editing, GitHub integration, and custom domain names, enabling technical staff to participate in ongoing maintenance.
The official website currently offers Superagents for connecting tools, processing data, and automating tasks. It’s important to note that creating a page, setting up a workflow, and operating a stable product are tasks at different stages; for projects involving login, payment, or external services, permissions, error handling, and actual costs must still be verified on a case-by-case basis.
Typical Use Cases
It can be used to build customer relationship management systems, appointment scheduling, project progress dashboards, customer portals, event registration systems, and lightweight online communities. It can also transform simple form-based workflows into applications with role-based permissions. For example, a small team can start by defining the relationships between customers, orders, and follow-up records; after generating the business interface, they can gradually add filtering, reporting, and reminders. For projects where requirements are not yet clear, conducting a small-scale trial is usually a safer approach than demanding a complete system all at once.
Getting Started
- Clearly define the target users, key pages, data to be saved, and user roles and permissions, and select the most important business process for the first release.
- Use the requirements-to-application generator to check in the preview whether the pages, forms, and data match the description.
- Modify the details through dialogue or visual editing, configure the necessary integrations, and avoid including irrelevant sensitive information in the prompt.
- Test key operations as a visitor, a regular user, and an administrator, respectively, and then review the mobile layout and security scan results.
- After confirming the scope of visibility, publish the site, connect a domain as needed, and continuously monitor usage, errors, and user feedback.
Differences from Lovable
Both Base44 and Lovable support the creation, preview, and visual adjustment of conversational applications, and both offer hosting and backend capabilities. Base44 provides databases, authentication, storage, and analytics all on a single platform;Lovable CloudIt also includes built-in databases, authentication, storage, and functions, and is built on Supabase’s open-source foundation. Therefore, the old comparison that “only Base44 comes with a built-in backend” no longer applies. A more useful approach to selecting a platform is to use the same small project to compare role permissions, target integrations, code handoffs, data migration, and actual operating costs, and then determine which workflow is best suited for your needs.
Fees and Usage Restrictions
During the verification period, the free plan provides 25 message credits, 100 integration credits, and support for up to 5 applications per month; paid plans start at $16 per month (based on an annual payment). Message credits are used for building and modifying AI models, while integration credits are used for related service operations within applications; a single conversation should not be simply understood as always consuming a fixed number of credits. Terms may vary depending on the model, action, and plan; please checkReal-Time Pricing Page. Third-party services may incur additional fees, which should be factored into the budget.
Official Quick Start GuidePlease note that exporting code as a ZIP file or syncing to GitHub requires the Builder plan or higher. The ability to export code does not guarantee that all hosting capabilities will function independently without modification. Security scans are designed to identify risks but do not replace a comprehensive audit; applications that involve real customer data, payments, or critical business operations should be reviewed by someone with relevant experience before going live.
Data Verification: October 17, 2026.Visit the official website, Features and pricing are subject to the latest official specifications.
data statistics
Relevant Navigation
Google's Gemini Prompt Experiment and Application Development Platform supports model testing, API integration, and application prototyping.

Ghostwriter
The built-in AI programming assistant in the Replit IDE provides intelligent code generation, completion, interpretation, refactoring, and real-time debugging features designed to speed up the development process and improve code quality.

GitHub Copilot
GitHub and OpenAI have jointly launched an AI programming assistant that provides real-time code completion, suggestions and optimization based on context, aiming to improve developers' programming efficiency and code quality.

Cline
The VS Code plug-in programming tool with integrated AI technology supports intelligent code completion, bug fixing and other features designed to improve developer programming efficiency.

Bolt.new
A browser-based AI full-stack web development platform that integrates cutting-edge AI models with WebContainers technology to provide a configuration-free development environment that supports natural language programming and one-click deployment.

Fynix
AI programming tools that enhance programming efficiency and adapt to individual development needs through AI code completion, natural language commands and custom AI features.

Twinny
An AI extension tool designed for Visual Studio Code that provides real-time code completion, interpreted dialog, test generation, code refactoring, and other features designed to improve developers' coding efficiency and experience.
OpenShell
NVIDIA OpenShell provides a controlled execution environment for AI agents through sandboxing, file and network policies, and credential proxy, making it ideal for development teams to deploy and manage permissions.
No comments...