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Developers have presented software for deploying blockchain without knowledge of the code

Forklog / 17.07.2024 / 14:27
Developers have presented software for deploying blockchain without knowledge of the code

The BVM Studio team presented a "code-free" solution for deploying L2 and L3 networks for bitcoin and Ethereum in "less than two minutes" based on the principle of Lego designers.

Introducing BVM Studio

BVM Studio makes it easy for you to launch your blockchain so you can focus on ideas, community & culture, and ultimately make money.

- Fun: Drag & drop, no-code
- Fast: In minutes
- Affordable: From $99/mo

→ https://t.co/yCihlleqIo

As a no-code tool,… pic.twitter.com/yYCm5nh1vd

— Bitcoin Virtual Machine (@BVMnetwork) July 17, 2024

The blockchain-as-a-service tool provides a visual programming editor interface. It allows you to deploy networks using drag-and-drop blocks in drag-and-drop format.

This approach reduces barriers when creating your own ZKP-based rollups and does not require knowledge of the code, software installation, storage or nodes. 

Such a task requires technical knowledge, funding, as well as a fundamental understanding of programming and security measures.

Despite its simplicity, the service "cannot offer the same depth of customization as fully customized solutions," the project team explained in an interview with Cointelegraph. 

Developers are improving the product by constantly adding new modules and options to increase flexibility.

Currently, the tool allows you to configure the baseline, hardware, calculations, data availability, gas limits, output time, ZK-prover and pre-installed dapps.

The service uses ZK-rollup technology to protect deployed blockchains due to the presence of three key components:

stored on the Bitcoin ZKP network;ZK-proverbs to ensure correct execution;easy nodes for checking ZK proofs.

The latter can be run even on an old laptop, the developers stressed.

Recall that in February, Polygon Labs presented the concept of a first-type prover that allows EVM networks to implement zero-knowledge evidence-based scaling technology.

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