ChainIDE Launches Conflux Development Environment to Further Explore the Global Developer Ecology

ChainIDE
ChainIDE
Published in
3 min readSep 1, 2021

At the end of August 2021, ChainIDE announced its cooperation with Conflux for development. At the same time, the Conflux blockchain environment is launched at the end of September, developers can access the ChainIDE-Conflux platform through the ChainIDE official website to compile, deploy and debug the projects on Conflux blockchain. In the future, ChainIDE will promote more overseas education, ecological and industrial cooperation with the Conflux blockchain environment to provide a more convenient development environment for global developers

ChainIDE is the world’s first cloud multi-chain blockchain integrated development environment independently developed by WhiteMatrix. It supports more than 10 well-known companies including FaceBook Diem, AntChain, Ethereum, WeBank, FiscoBcos, Huawei Kunpeng, and Fun Chain Feiluo. ChainIDE provides a cloud compilation function, without cumbersome installation settings, and accelerates the development iteration speed. As of 2021, ChainIDE has helped developers in more than 165 countries, providing more than 05 million smart contract compilation services and 70 million blockchain middleware traffic. It is the global blockchain developer traffic portal. ChainIDE is committed to accompanying developers around the world to explore the new world of blockchain, bringing more traffic and innovation to the blockchain ecology.

What is Conflux? In brief, it is a Proof-of-Work (PoW) blockchain network that allows the parallel processing of blocks and transactions, while eventually forming a final serial chain. This feature contrasts with other well-known networks, such as Bitcoin and Ethereum, which process blocks strictly one-by-one. The parallel processing creates economic incentives for miners that are notably different from serial chains and the differences improve the security and economic viability against double-spending attacks.

Conflux is committed to building a next-generation high-performance blockchain environment platform. Ingeniously use the self-developed scalable consensus algorithm based on the tree graph TG (Tree-Graph) structure to solve the waste of computing resources and the consequently reduced security problems caused by bifurcation in the high-concurrency network, so that the consensus is no longer the bottleneck of blockchain performance. It is worth mentioning that Conflux uses a self-developed scalable consensus algorithm based on the tree graph TG structure to achieve a high throughput of 3000~6000 TPS without sacrificing any degree of decentralization, which is far ahead in the industry.

The cooperation between ChainIDE and Conflux can help developers, designers, and researchers to integrate into the blockchain ecosystem faster, and at the same time greatly reduce the barriers to blockchain development. ChainIDE has a powerful middleware open plug-in and developer ecology, which can help users complete the compilation and deployment of smart contracts in the cloud with one click, thus greatly saving developers’ marginal costs.

After ChainIDE launched version 2.0, it adopted a more scientific interaction method and a flat UI design style, which effectively improved the designer’s development experience.

Wu Xiao, the founder of ChainIDE, said: “We hope to provide all chain developers with a development-friendly, efficient, and convenient online IDE platform. We will strengthen cooperation with Conflux to bring more traffic to the blockchain ecosystem and It is the greatest honor of WhiteMatrix to be innovative and able to accompany developers around the world to explore the new world on the blockchain.”

More information about Conflux can be found on the links given below,

  1. Conflux Official Website: https://confluxnetwork.org/
  2. Conflux Protocol Specification
  3. A decentralized blockchain with high throughput and Fast Confirmation
  4. GHAST: Breaking Confirmation Delay Barrier in Nakamoto Consensus via Adaptive Weighted Blocks
  5. Technical Presentation

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