Webinar Recap: The end of vendor lock-in

Missed the live webinar?

Catch up on the key insights from The Betty Blocks Open Webinar. This recap covers the main discussions, practical takeaways, and numerous insightful questions and answers.

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Redefining low-code ownership

On 19th Feb 2026, we hosted a technical deep dive into Betty Blocks Open, which represents a fundamental shift in how enterprise low-code applications are built and owned. The session addressed the common trap of traditional low-code platforms where organizations build applications but never truly own the underlying code.

By demonstrating a transition toward open standards like React 19 and WebAssembly, we showed how Betty Blocks is dismantling proprietary runtimes in favor of a portable architecture that gives organizations full control over their digital assets.
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What we covered

We explored the evolution of application development, specifically focusing on how to achieve senior developer level code quality without the risks of unmaintainable AI generated text or proprietary lock-in.

The ownership crisis

Why traditional low-code runtimes create escalating costs and zero negotiating leverage for enterprises.

Deterministic AI

The shift from AI to Code models toward an AI to Meta Model approach for consistent and secure results.

The Open stack

A live demo of downloading and running React frontends and WebAssembly backends locally and independently of the Betty Blocks platform.

Key takeaways

Betty Blocks Open builds portable, production-ready applications on open standards - with clean code, language flexibility, and zero vendor lock-in.

True Portability

Applications are built on industry standards including React 19, Vite, WasmCloud, and Kubernetes to ensure they run on your infrastructure with zero proprietary dependencies.

Maintainable AI Generation

By using a meta model as a mediator, the platform generates clean code that is readable by any standard React or WebAssembly developer.

Bring your own language

The WebAssembly backend architecture is language agnostic, allowing teams to leverage TypeScript today with future support for Python, Rust, and .NET.

No Risk Exit Strategy

If a company chooses to leave the platform, the transition requires no migration project because the generated code is production ready and fully operational.

Key questions and answers from the webinar

What happens when the AI gets something wrong? Can users edit the meta model directly, or do they have to re-prompt?

Both are possible. You can re-prompt to refine the output, or you can directly edit at the visual level (change typography, styling, layout) and the meta model updates accordingly. For developers who want full control, you can also create your own React components or WebAssembly modules and upload them to the platform.

How difficult is it to run the app outside of Betty Blocks? What would you need to do?

Click the download button, follow the README to set up your environment (install Kubernetes, point to your database), and run. The easiest route is using My Betty Blocks to point your downloaded app to a newly installed server setup. But you can also do it manually: the generated code includes full documentation.

How does versioning work when you regenerate code from the meta model? Do you handle merge conflicts, or is it a full replace every time?

Betty Blocks has built-in version control with sandbox environments (Development, Test, Acceptance, Production). You can create branches per developer, merge changes, and roll back if needed. Inside your environment, you can see all changes and version history. This works identically to how you'd normally version code yourself.

Can developers modify the React components or WASM modules and still use Betty Blocks, or is that a one-way door?

Yes, developers can modify components inside Betty Blocks. You can create custom React components, upload custom WebAssembly modules, and the platform will use them. If you stop using Betty Blocks entirely, you have 100% flexibility to modify anything. The generated code is yours.



How do you prevent the AI from generating inconsistent schemas when a user asks for the same thing in different ways?

The AI is provided with the full structure of your existing application. Before generating anything, it checks what already exists and suggests using existing models/schemas. It shows you what it's going to do before doing it. This prevents duplication and maintains consistency.

Which React version is the app running?

React 19, the latest version. Betty Blocks always uses the latest stable React release, and updates the compiler accordingly when React updates.

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