ERC-3643: A Closer Look at Its Applications

Miłosz Mach

09 Jan 2024
ERC-3643: A Closer Look at Its Applications

At Nextrope, we recognize the transformative impact of technologies such as ERC-3643. In this article, we highlight its applications in the burgeoning DeFi sector. The aim is to showcase the opportunities the standard brings, thereby increasing the efficiency of the global market.

ERC-3643 in Action

The advent of ERC-3643 has significant implications across multiple branches. This section highlights the potential it holds for each.

Find out how ERC-364 compares to other standards!

Financial Sector: Securities Furtherance

This standard frames the process of issuing, trading, and managing securities, providing a more transparent system. It opens up avenues for crowdfunding and democratizes access to investment seizing.

Project Overview

A global financial institution issuing securities sought to expand its trading framework, aiming for greater inclusivity.

Implementation

Leveraging ERC-3643, the entity tokenized its range of securities, including stocks and bonds. This improved the trading process, incorporated compliance mechanisms, and created opportunities for retail investors.

Outcome

The project was a milestone in financial democratization, easing nominal entry barriers. It spelled a change in the view of more accessible and secure financial assets trading.

Real Estate: Augmented Liquidity and Accessibility

ERC-3643 may supply liquidity into a traditionally illiquid market. Therefore, investors can buy and sell fractions of assets. This also simplifies the process of operating properties, reducing the transaction costs and bureaucratic hurdles associated with the dealings.

Project Overview

A real estate company willing to tokenize a portfolio of properties.

Implementation

The company issued digital tokens in the form of property shares. Each token embodied a portion value, enabling people worldwide to invest with smaller capital outlays.

Outcome

The project successfully extended access to real estate investments, previously a domain of high-net-worth individuals or institutional parties. It provided liquidity through secondary markets and ensured compliance with local and international regulations.

Art and Collectibles: Unlocking New Value

The world of collectibles is undergoing metamorphosis with ERC-3643. Artists digitize their artworks and enable them to be traded on blockchain platforms. ERC-3643 not only ensures authenticity but also allows for partial ownership, attracting previous audiences priced out of the market.

Project Overview

A gallery tokenizing rare artworks and increasing accessibility to a broader audience.

Implementation

Through ERC-3643, they were made available on-chain allowing the enthusiast to own and trade parts of high-value masterpieces.

Outcome

Token holders could trade on secondary markets, introducing a new dynamic to art valuation.

Intellectual Property and Patents

Creators often grapple with opaque licensing processes, and challenges in royalty distributions. Traditional methods hinder them from fully capitalizing on intellectual matter which predisposes ERC-3643 to becoming a pivotal player here. 

Project Overview

A technology company aimed to rethink the way patents are managed and monetized. 

Implementation

This involved creating digital tokens, optimizing the licensing, and royalty allocation process.

Outcome

The initiative advocates the author’s right management and activities related to know-how materialization. It enables transparent licensing, simplifies the commission splitment, and broadens accessibility enabling partial ownership for those interested.

Supply Chain and Logistics

In the supply chain, ERC-3643 can be utilized to empower provenance verification. Tokenizing allows for real-time tracking and auditability. This standard could facilitate smoother agreements between parties, leading to decreased operational time and cost of the transactions.

Project Overview

A multinational manufacturing company with a vision to refine supply chain procedures and further product traceability.

Implementation

The company issues ERC-3643 tokens linked to specific batches of products. Each one carries data with origin, manufacturing date, and logistic journey through the supply chain.

Outcome

This increases consumer trust and diminishes the risk of counterfeit goods entering the market.

Green Energy Projects

The renewable energy sector, particularly small-scale green projects, endures funding acquisition due to high initial costs and limited supply. This hinders sustainable energy solutions growth. 

Project Overview

A renewable energy startup planned to fund solar panel installations through tokenized investments.

Implementation

The participants received tokens that not only figured equity in the project but also entitled them to profits from energy sales depending on the token ratio owned.

Outcome

This approach facilitated crowd-sourced funding for sustainable energy initiatives, offering an opportunity to environmentally-conscious investors and promoting the development of green infrastructure.

ERC-3643's Role in Decentralized Finance

Known for crafting monetary ecosystems based on blockchain technology, decentralized finances benefit immensely from adopting ERC-3643. Below, we present some symbiotic examples.

Conducive Regulatory Environment

One of the fundamental contributions of ERC-3643 is the infusion of legal compliance into the decentralized finance sector. While DeFi thrives on the principles of openness and lack of central authority, specific jurisdiction-based law adherence has been a grey area. ERC-3643 pursues seamless KYC, AML integration, and advanced token control features within the token's smart contract. It simultaneously strengthens security and trust among institutional funds.

Broader Asset Tokenization

Beyond typical cryptocurrencies and NFTs, ERC-3643 diversification enriches the DeFi space unlocking new liquidity pools.

Optimized Operations

This includes faster and more cost-effective transactions. Thanks to its modular architecture, it simplifies the integration of new functionalities and services within platforms built on Ethereum.

Conclusion

ERC-3643 transcends being merely a technological leap. From transforming traditional finance to conquering new requisitions around myriad markets. A nexus, merging the rigor of regulations with cutting-edge solutions. As we conclude, it’s evident that the standard emergence signifies a shift between the old and the new, heralding a digital-forward future with endless possibilities.

If you are interested in utilizing ERC-3643 or other blockchain-based solutions for your project, please reach out to contact@nextrope.com

FAQ

What is ERC-3643 and how does it change asset tokenization?

  • ERC-3643 is a blockchain standard streamlining Real World Asset (RWA) tokenization, overcoming regulatory hurdles, enabling fractional ownership, and enhancing transfer processes.

What benefits does ERC-3643 offer for intellectual property and infrastructure projects?

  • ERC-3643 facilitates IP tokenization, simplifies revenue distribution, and fosters collaboration. In infrastructure, it broadens investment opportunities, improves project management, and ensures regulatory compliance.

How does ERC-3643 contribute to healthcare and AI integration?

  • ERC-3643 secures funding for medical research, enhances facility management, and ensures data security in healthcare. It also aids AI content verification, ensuring authenticity and origin tracking.

Why is ERC-3643 significant for asset management?

  • ERC-3643 ensures regulatory compliance, offers flexibility and scalability, and provides a framework for tokenizing challenging assets, making it essential in modern asset management.

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AI-Driven Frontend Automation: Elevating Developer Productivity to New Heights

Gracjan Prusik

11 Mar 2025
AI-Driven Frontend Automation: Elevating Developer Productivity to New Heights

AI Revolution in the Frontend Developer's Workshop

In today's world, programming without AI support means giving up a powerful tool that radically increases a developer's productivity and efficiency. For the modern developer, AI in frontend automation is not just a curiosity, but a key tool that enhances productivity. From automatically generating components, to refactoring, and testing – AI tools are fundamentally changing our daily work, allowing us to focus on the creative aspects of programming instead of the tedious task of writing repetitive code. In this article, I will show how these tools are most commonly used to work faster, smarter, and with greater satisfaction.

This post kicks off a series dedicated to the use of AI in frontend automation, where we will analyze and discuss specific tools, techniques, and practical use cases of AI that help developers in their everyday tasks.

AI in Frontend Automation – How It Helps with Code Refactoring

One of the most common uses of AI is improving code quality and finding errors. These tools can analyze code and suggest optimizations. As a result, we will be able to write code much faster and significantly reduce the risk of human error.

How AI Saves Us from Frustrating Bugs

Imagine this situation: you spend hours debugging an application, not understanding why data isn't being fetched. Everything seems correct, the syntax is fine, yet something isn't working. Often, the problem lies in small details that are hard to catch when reviewing the code.

Let’s take a look at an example:

function fetchData() {
    fetch("htts://jsonplaceholder.typicode.com/posts")
      .then((response) => response.json())
      .then((data) => console.log(data))
      .catch((error) => console.error(error));
}

At first glance, the code looks correct. However, upon running it, no data is retrieved. Why? There’s a typo in the URL – "htts" instead of "https." This is a classic example of an error that could cost a developer hours of frustrating debugging.

When we ask AI to refactor this code, not only will we receive a more readable version using newer patterns (async/await), but also – and most importantly – AI will automatically detect and fix the typo in the URL:

async function fetchPosts() {
    try {
      const response = await fetch(
        "https://jsonplaceholder.typicode.com/posts"
      );
      const data = await response.json();
      console.log(data);
    } catch (error) {
      console.error(error);
    }
}

How AI in Frontend Automation Speeds Up UI Creation

One of the most obvious applications of AI in frontend development is generating UI components. Tools like GitHub Copilot, ChatGPT, or Claude can generate component code based on a short description or an image provided to them.

With these tools, we can create complex user interfaces in just a few seconds. Generating a complete, functional UI component often takes less than a minute. Furthermore, the generated code is typically error-free, includes appropriate animations, and is fully responsive, adapting to different screen sizes. It is important to describe exactly what we expect.

Here’s a view generated by Claude after entering the request: “Based on the loaded data, display posts. The page should be responsive. The main colors are: #CCFF89, #151515, and #E4E4E4.”

Generated posts view

AI in Code Analysis and Understanding

AI can analyze existing code and help understand it, which is particularly useful in large, complex projects or code written by someone else.

Example: Generating a summary of a function's behavior

Let’s assume we have a function for processing user data, the workings of which we don’t understand at first glance. AI can analyze the code and generate a readable explanation:

function processUserData(users) {
  return users
    .filter(user => user.isActive) // Checks the `isActive` value for each user and keeps only the objects where `isActive` is true
    .map(user => ({ 
      id: user.id, // Retrieves the `id` value from each user object
      name: `${user.firstName} ${user.lastName}`, // Creates a new string by combining `firstName` and `lastName`
      email: user.email.toLowerCase(), // Converts the email address to lowercase
    }));
}

In this case, AI not only summarizes the code's functionality but also breaks down individual operations into easier-to-understand segments.

AI in Frontend Automation – Translations and Error Detection

Every frontend developer knows that programming isn’t just about creatively building interfaces—it also involves many repetitive, tedious tasks. One of these is implementing translations for multilingual applications (i18n). Adding translations for each key in JSON files and then verifying them can be time-consuming and error-prone.

However, AI can significantly speed up this process. Using ChatGPT, DeepSeek, or Claude allows for automatic generation of translations for the user interface, as well as detecting linguistic and stylistic errors.

Example:

We have a translation file in JSON format:

{
  "welcome_message": "Welcome to our application!",
  "logout_button": "Log out",
  "error_message": "Something went wrong. Please try again later."
}

AI can automatically generate its Polish version:

{
  "welcome_message": "Witaj w naszej aplikacji!",
  "logout_button": "Wyloguj się",
  "error_message": "Coś poszło nie tak. Spróbuj ponownie później."
}

Moreover, AI can detect spelling errors or inconsistencies in translations. For example, if one part of the application uses "Log out" and another says "Exit," AI can suggest unifying the terminology.

This type of automation not only saves time but also minimizes the risk of human errors. And this is just one example – AI also assists in generating documentation, writing tests, and optimizing performance, which we will discuss in upcoming articles.

Summary

Artificial intelligence is transforming the way frontend developers work daily. From generating components and refactoring code to detecting errors, automating testing, and documentation—AI significantly accelerates and streamlines the development process. Without these tools, we would lose a lot of valuable time, which we certainly want to avoid.

In the next parts of this series, we will cover topics such as:

Stay tuned to keep up with the latest insights!

The Ultimate Web3 Backend Guide: Supercharge dApps with APIs

Tomasz Dybowski

04 Mar 2025
The Ultimate Web3 Backend Guide: Supercharge dApps with APIs

Introduction

Web3 backend development is essential for building scalable, efficient and decentralized applications (dApps) on EVM-compatible blockchains like Ethereum, Polygon, and Base. A robust Web3 backend enables off-chain computations, efficient data management and better security, ensuring seamless interaction between smart contracts, databases and frontend applications.

Unlike traditional Web2 applications that rely entirely on centralized servers, Web3 applications aim to minimize reliance on centralized entities. However, full decentralization isn't always possible or practical, especially when it comes to high-performance requirements, user authentication or storing large datasets. A well-structured backend in Web3 ensures that these limitations are addressed, allowing for a seamless user experience while maintaining decentralization where it matters most.

Furthermore, dApps require efficient backend solutions to handle real-time data processing, reduce latency, and provide smooth user interactions. Without a well-integrated backend, users may experience delays in transactions, inconsistencies in data retrieval, and inefficiencies in accessing decentralized services. Consequently, Web3 backend development is a crucial component in ensuring a balance between decentralization, security, and functionality.

This article explores:

  • When and why Web3 dApps need a backend
  • Why not all applications should be fully on-chain
  • Architecture examples of hybrid dApps
  • A comparison between APIs and blockchain-based logic

This post kicks off a Web3 backend development series, where we focus on the technical aspects of implementing Web3 backend solutions for decentralized applications.

Why Do Some Web3 Projects Need a Backend?

Web3 applications seek to achieve decentralization, but real-world constraints often necessitate hybrid architectures that include both on-chain and off-chain components. While decentralized smart contracts provide trustless execution, they come with significant limitations, such as high gas fees, slow transaction finality, and the inability to store large amounts of data. A backend helps address these challenges by handling logic and data management more efficiently while still ensuring that core transactions remain secure and verifiable on-chain.

Moreover, Web3 applications must consider user experience. Fully decentralized applications often struggle with slow transaction speeds, which can negatively impact usability. A hybrid backend allows for pre-processing operations off-chain while committing final results to the blockchain. This ensures that users experience fast and responsive interactions without compromising security and transparency.

While decentralization is a core principle of blockchain technology, many dApps still rely on a Web2-style backend for practical reasons:

1. Performance & Scalability in Web3 Backend Development

  • Smart contracts are expensive to execute and require gas fees for every interaction.
  • Offloading non-essential computations to a backend reduces costs and improves performance.
  • Caching and load balancing mechanisms in traditional backends ensure smooth dApp performance and improve response times for dApp users.
  • Event-driven architectures using tools like Redis or Kafka can help manage asynchronous data processing efficiently.

2. Web3 APIs for Data Storage and Off-Chain Access

  • Storing large amounts of data on-chain is impractical due to high costs.
  • APIs allow dApps to store & fetch off-chain data (e.g. user profiles, transaction history).
  • Decentralized storage solutions like IPFS, Arweave and Filecoin can be used for storing immutable data (e.g. NFT metadata), but a Web2 backend helps with indexing and querying structured data efficiently.

3. Advanced Logic & Data Aggregation in Web3 Backend

  • Some dApps need complex business logic that is inefficient or impossible to implement in a smart contract.
  • Backend APIs allow for data aggregation from multiple sources, including oracles (e.g. Chainlink) and off-chain databases.
  • Middleware solutions like The Graph help in indexing blockchain data efficiently, reducing the need for on-chain computation.

4. User Authentication & Role Management in Web3 dApps

  • Many applications require user logins, permissions or KYC compliance.
  • Blockchain does not natively support session-based authentication, requiring a backend for handling this logic.
  • Tools like Firebase Auth, Auth0 or Web3Auth can be used to integrate seamless authentication for Web3 applications.

5. Cost Optimization with Web3 APIs

  • Every change in a smart contract requires a new audit, costing tens of thousands of dollars.
  • By handling logic off-chain where possible, projects can minimize expensive redeployments.
  • Using layer 2 solutions like Optimism, Arbitrum and zkSync can significantly reduce gas costs.

Web3 Backend Development: Tools and Technologies

A modern Web3 backend integrates multiple tools to handle smart contract interactions, data storage, and security. Understanding these tools is crucial to developing a scalable and efficient backend for dApps. Without the right stack, developers may face inefficiencies, security risks, and scaling challenges that limit the adoption of their Web3 applications.

Unlike traditional backend development, Web3 requires additional considerations, such as decentralized authentication, smart contract integration, and secure data management across both on-chain and off-chain environments.

Here’s an overview of the essential Web3 backend tech stack:

1. API Development for Web3 Backend Services

  • Node.js is the go-to backend runtime good for Web3 applications due to its asynchronous event-driven architecture.
  • NestJS is a framework built on top of Node.js, providing modular architecture and TypeScript support for structured backend development.

2. Smart Contract Interaction Libraries for Web3 Backend

  • Ethers.js and Web3.js are TypeScript/JavaScript libraries used for interacting with Ethereum-compatible blockchains.

3. Database Solutions for Web3 Backend

  • PostgreSQL: Structured database used for storing off-chain transactional data.
  • MongoDB: NoSQL database for flexible schema data storage.
  • Firebase: A set of tools used, among other things, for user authentication.
  • The Graph: Decentralized indexing protocol used to query blockchain data efficiently.

4. Cloud Services and Hosting for Web3 APIs

When It Doesn't Make Sense to Go Fully On-Chain

Decentralization is valuable, but it comes at a cost. Fully on-chain applications suffer from performance limitations, high costs and slow execution speeds. For many use cases, a hybrid Web3 architecture that utilizes a mix of blockchain-based and off-chain components provides a more scalable and cost-effective solution.

In some cases, forcing full decentralization is unnecessary and inefficient. A hybrid Web3 architecture balances decentralization and practicality by allowing non-essential logic and data storage to be handled off-chain while maintaining trustless and verifiable interactions on-chain.

The key challenge when designing a hybrid Web3 backend is ensuring that off-chain computations remain auditable and transparent. This can be achieved through cryptographic proofs, hash commitments and off-chain data attestations that anchor trust into the blockchain while improving efficiency.

For example, Optimistic Rollups and ZK-Rollups allow computations to happen off-chain while only submitting finalized data to Ethereum, reducing fees and increasing throughput. Similarly, state channels enable fast, low-cost transactions that only require occasional settlement on-chain.

A well-balanced Web3 backend architecture ensures that critical dApp functionalities remain decentralized while offloading resource-intensive tasks to off-chain systems. This makes applications cheaper, faster and more user-friendly while still adhering to blockchain's principles of transparency and security.

Example: NFT-based Game with Off-Chain Logic

Imagine a Web3 game where users buy, trade and battle NFT-based characters. While asset ownership should be on-chain, other elements like:

  • Game logic (e.g., matchmaking, leaderboard calculations)
  • User profiles & stats
  • Off-chain notifications

can be handled off-chain to improve speed and cost-effectiveness.

Architecture Diagram

Below is an example diagram showing how a hybrid Web3 application splits responsibilities between backend and blockchain components.

Hybrid Web3 Architecture

Comparing Web3 Backend APIs vs. Blockchain-Based Logic

FeatureWeb3 Backend (API)Blockchain (Smart Contracts)
Change ManagementCan be updated easilyEvery change requires a new contract deployment
CostTraditional hosting feesHigh gas fees + costly audits
Data StorageCan store large datasetsLimited and expensive storage
SecuritySecure but relies on centralized infrastructureFully decentralized & trustless
PerformanceFast response timesLimited by blockchain throughput

Reducing Web3 Costs with AI Smart Contract Audit

One of the biggest pain points in Web3 development is the cost of smart contract audits. Each change to the contract code requires a new audit, often costing tens of thousands of dollars.

To address this issue, Nextrope is developing an AI-powered smart contract auditing tool, which:

  • Reduces audit costs by automating code analysis.
  • Speeds up development cycles by catching vulnerabilities early.
  • Improves security by providing quick feedback.

This AI-powered solution will be a game-changer for the industry, making smart contract development more cost-effective and accessible.

Conclusion

Web3 backend development plays a crucial role in scalable and efficient dApps. While full decentralization is ideal in some cases, many projects benefit from a hybrid architecture, where off-chain components optimize performance, reduce costs and improve user experience.

In future posts in this Web3 backend series, we’ll explore specific implementation details, including:

  • How to design a Web3 API for dApps
  • Best practices for integrating backend services
  • Security challenges and solutions

Stay tuned for the next article in this series!