Blockchain developer – how to hire the right professional

Maciej Zieliński

16 May 2021
Blockchain developer – how to hire the right professional

There are hundreds of new projects using blockchain technology every month around the world. It is estimated that by 2025, the value of the blockchain market will reach 39.5 billion. Therefore, blockchain remains one of the few industries where the demand for specialists so far exceeds the supply. In that case, which blockchain developer will meet your company's expectations and how to find one?

How much demand is there for Blockchain developers?

Entrepreneurs around the world are investing more and more money in blockchain development, and companies like JP Morgan, Oracle, Amazon, and Facebook are already using blockchain technology to handle their daily financial operations. 

If the number of top companies, including the world's largest banks and real estate giants, interested in blockchain technology is growing every day, there is basically no doubt that the demand for Blockchain developers is also growing. 

That's why LinkedIn has already rated blockchain as the most needed skill in 2020. And the U.S. Bureau of Labor Statistic has ranked Blockchain programmers among the fastest growing occupations in 2019-2020.

What skills a blockchain developer should have?

We have already written more about the skills needed by a Blockchain programmer in our article Blockchain programmer - how to become one?  

In a nutshell, every Blockchain programmer should understand the concept and tenets of Blockchain technology, cryptography, and be comfortable with topics such as tokens, smart contracts, decentralized applications and registries, and be fluent in the necessary programming languages. 

What programming languages should a blockchain programmer know?

The blockchain programmer you hire for your company should be proficient in all or most of the following programming languages:

  • C++
  • Scala
  • Python
  • Java
  • Javascript
  • Golang
  • Solidity

In addition, you should look for a blockchain developer who:

  • They previously worked with OOPS (Object-Oriented Programming Structure), this structure allows the program to be quickly updated when needed.
  • Deep understanding of language syntax makes a really big difference with Dapps
  • Be able to implement multithreading 
blockchain developer

Specific skills a Blockchain developer should have

A Blockchain developer should have a deep understanding of Blockchain technology and its applications. As a rule of thumb, a Blockchain programmer will be comfortable with the following concepts, which you should also be familiar with before interviewing him:

SHA (Security Hash Algorithm) - its familiarity is an absolute must, make sure that your company's Blockchain developer candidate knows the difference between SHA-1 and SHA-2 and can choose the right one for your application.

Encryption and decryption methods - necessarily along with a deep understanding of public and private key concepts. 

DLT (Distributed Ledger Technology) - a technology that allows data to be stored in multiple, distributed nodes rather than in a single location. The developer should be able to identify and explain its use cases in different Blockchain. 

Consensus- defines how new data is added to the blockchain (each node in the network must "agree" to add new information). A blockchain developer should distinguish between consensus methods such as PoS (Proof of Stake) and PoW (Proof of Work).

Tokenization - Tokenization is the process of converting both physical and non-physical assets into digital tokens using Blockchain technology. Every Blockchain developer should be able to create tokens and distinguish their basic types such as Utility, Security or NFT tokens. You can read more about them in our article: New token types – everything you need to know about them.

Dapps - decentralized, peer-to-peer applications.

Smart contracts - this is a self-enforcing contract in which the terms agreed between the parties are written directly into the lines of code. Smart contracts are the backbone of decentralized applications, where they allow for the abandonment of intermediaries. 

Various Blockchain Protocols - Currently, the most popular are Ethereum, Hyper Ledger Fabric and Corda. Blockchain projects mostly use one of these, so a Blockchain developer does not need to be proficient with all of them. On the other hand, his or her experience with them should certainly coincide with your needs. If you do not know which Blockchain protocol will work best for your project, our consultants can help you free of charge: contact@nextrope.com

Public and Private Blockchain - A blockchain developer should understand and be able to explain the differences between the two and justify their different business uses.

blockchain developer

Where to find a Blockchain developer

Online forums

Online platforms, forums, and groups on sites like Facebook, Reddit, and the IEEE Blockchain Community can also prove to be good places to look for Blockchain developers

Conferences

Nowadays, all such events have moved online, making it difficult but not impossible to find a blockchain developer at them. 

Schools

More and more universities are introducing courses focused on Blockchain. It is among their students and graduates that you will most easily find young people hungry for development and experience for the position of Blockchain programmer. 

Websites for freelancers

Among them, especially noteworthy are: CodementorXX-TeamToptal, BountyOne and Stack Overflow.

How to hire a Blockchain developer with Nextrope

We are a Polish software house providing Blockchain outsourcing services. We approach each project with great attention to detail and personal commitment. Among our clients there are revolutionary startups from financial and legal sector as well as one of the biggest banks in Poland - Alior Bank. You can read more about our success here. 

After years of work, we simply know the basics of fantastic projects. Want to find out why Nextrope - make an appointment for a free consultation: contact@nextrope.com

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Master UI Component Creation with AI: The Ultimate Guide for Developers

Gracjan Prusik

24 Mar 2025
Master UI Component Creation with AI: The Ultimate Guide for Developers

Introduction

Modern frontend development is evolving rapidly, and creating UI components with AI tools is helping developers save time while enhancing interface quality. With AI, we can not only speed up the creation of UI components but also improve their quality, optimize styles, and ensure better accessibility.

This article explores how creating UI components with AI is transforming frontend development by saving time and improving workflows. Specifically, we will discuss:

  • Generating components from images,
  • AI for style analysis and optimization,
  • Automatic style conversion and code migration,
  • AI in generating UI animations.

Creating UI Components with AI from Images

One of the interesting applications of AI in frontend development is the ability to generate components from an image. AI can recognize the structure of the interface and generate HTML/CSS or JSX code that matches the provided image. One of the most popular tools for UI creation is Lovable.

For testing, let's see how the tool performs in creating a simple contact form from the page you are currently on, which is Nextrope.

Query:

"Recreate the image I've sent you in Next.js using CSS."

Sample image used in the query:

The result received:

Tworzenie komponentów UI - Wygenerowany widok

Lovable did an excellent job transforming the image into code. The view is fully responsive. It’s important to remember that the more precise the request, the better the AI will replicate the expected view. However, even with a simple command, the tool performed surprisingly well.

Of course, AI has its limitations. It still makes quite a few mistakes. The generated code still requires review and fixes from the developer, but in some cases, the entire process is significantly sped up—correcting the code often takes less time than creating the component from scratch.

Optimizing UI Components with AI Tools for Style Improvements

This problem of inaccurate code reproduction by AI can be partially addressed by using it to analyze and improve styles. Tools like ChatGPT, DeepSeek and Claude are capable of not only generating code but also diagnosing CSS errors and suggesting why a particular style might not be working as expected.

Simple example: Why is the div not centered?

Query: "Why is this div not centered?"

AI analyzes the code and provides the following response:

Problem: The parent container does not have a defined width or display: flex.
Solution: Add the appropriate styles to the parent container.

.parent {
  display: flex;
  justify-content: center;
  align-items: center;
  width: 100vw;
  height: 100vh;
}

AI for Automatic Style Conversion and Code Migration in UI Components

AI can assist with style conversion between different technologies, such as transferring code from traditional CSS to Styled Components or Tailwind CSS.

Let's assume we have a style written in traditional CSS:

.button {
  background-color: blue;
  color: white;
  padding: 10px 20px;
  border-radius: 5px;
  transition: background-color 0.3s ease;
}

.button:hover {
  background-color: darkblue;
}

We can use AI for automatic conversion to Styled Components:

import styled from "styled-components";

const Button = styled.button`
  background-color: blue;
  color: white;
  padding: 10px 20px;
  border-radius: 5px;
  transition: background-color 0.3s ease;

  &:hover {
    background-color: darkblue;
  }
`;

export default Button;

AI can also assist in migrating code between frameworks, such as from React to Vue or from CSS to Tailwind.

This makes style migration easier and faster.

How AI Enhances UI Animation Creation

Animations are crucial for enhancing user experience in interfaces, but they are not always provided in the project specification. In such cases, developers have to come up with how the animations should look, which can be time-consuming and require significant creativity. AI, in this context, becomes helpful because it can automatically generate CSS animations or animations using libraries like Framer Motion, saving both time and effort.

Example: Automatically Generated Button Animation

Suppose we need to add a subtle scaling animation to a button but don't have a ready-made animation design. Instead of creating it from scratch, AI can generate the code that meets our needs.

Code generated by AI:

import { motion } from "framer-motion";

const AnimatedButton = () => (
  <motion.button
    whileHover={{ scale: 1.1 }}
    whileTap={{ scale: 0.9 }}
    className="bg-blue-500 text-white px-4 py-2 rounded-lg"
  >
    Press me
  </motion.button>
);

In this way, AI accelerates the animation creation process, providing developers with a simple and quick option to achieve the desired effect without the need to manually design animations from scratch.

Summary

AI significantly accelerates the creation of UI components. We can generate ready-made components from images, optimize styles, transform code between technologies, and create animations in just a few seconds. Tools like ChatGPT, DeepSeek, Claude and Lovable are a huge help for frontend developers, enabling faster and more efficient work.

In the next part of the series, we will take a look at:

If you want to learn more about how AI is impacting the entire automation of frontend processes and changing the role of developers, check out our blog article: AI in Frontend Automation – How It's Changing the Developer's Job?

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AI in Real Estate: How Does It Support the Housing Market?

Miłosz Mach

18 Mar 2025
AI in Real Estate: How Does It Support the Housing Market?

The digital transformation is reshaping numerous sectors of the economy, and real estate is no exception. By 2025, AI will no longer be a mere gadget but a powerful tool that facilitates customer interactions, streamlines decision-making processes, and optimizes sales operations. Simultaneously, blockchain technology ensures security, transparency, and scalability in transactions. With this article, we launch a series of publications exploring AI in business, focusing today on the application of artificial intelligence within the real estate industry.

AI vs. Tradition: Key Implementations of AI in Real Estate

Designing, selling, and managing properties—traditional methods are increasingly giving way to data-driven decision-making.

Breakthroughs in Customer Service

AI-powered chatbots and virtual assistants are revolutionizing how companies interact with their customers. These tools handle hundreds of inquiries simultaneously, personalize offers, and guide clients through the purchasing process. Implementing AI agents can lead to higher-quality leads for developers and automate responses to most standard customer queries. However, technical challenges in deploying such systems include:

  • Integration with existing real estate databases: Chatbots must have access to up-to-date listings, prices, and availability.
  • Personalization of communication: Systems must adapt their interactions to individual customer needs.
  • Management of industry-specific knowledge: Chatbots require specialized expertise about local real estate markets.

Advanced Data Analysis

Cognitive AI systems utilize deep learning to analyze complex relationships within the real estate market, such as macroeconomic trends, local zoning plans, and user behavior on social media platforms. Deploying such solutions necessitates:

  • Collecting high-quality historical data.
  • Building infrastructure for real-time data processing.
  • Developing appropriate machine learning models.
  • Continuously monitoring and updating models based on new data.

Intelligent Design

Generative artificial intelligence is revolutionizing architectural design. These advanced algorithms can produce dozens of building design variants that account for site constraints, legal requirements, energy efficiency considerations, and aesthetic preferences.

Optimizing Building Energy Efficiency

Smart building management systems (BMS) leverage AI to optimize energy consumption while maintaining resident comfort. Reinforcement learning algorithms analyze data from temperature, humidity, and air quality sensors to adjust heating, cooling, and ventilation parameters effectively.

Integration of AI with Blockchain in Real Estate

The convergence of AI with blockchain technology opens up new possibilities for the real estate sector. Blockchain is a distributed database where information is stored in immutable "blocks." It ensures transaction security and data transparency while AI analyzes these data points to derive actionable insights. In practice, this means that ownership histories, all transactions, and property modifications are recorded in an unalterable format, with AI aiding in interpreting these records and informing decision-making processes.

AI has the potential to bring significant value to the real estate sector—estimated between $110 billion and $180 billion by experts at McKinsey & Company.

Key development directions over the coming years include:

  • Autonomous negotiation systems: AI agents equipped with game theory strategies capable of conducting complex negotiations.
  • AI in urban planning: Algorithms designed to plan city development and optimize spatial allocation.
  • Property tokenization: Leveraging blockchain technology to divide properties into digital tokens that enable fractional investment opportunities.

Conclusion

For companies today, the question is no longer "if" but "how" to implement AI to maximize benefits and enhance competitiveness. A strategic approach begins with identifying specific business challenges followed by selecting appropriate technologies.

What values could AI potentially bring to your organization?
  • Reduction of operational costs through automation
  • Enhanced customer experience and shorter transaction times
  • Increased accuracy in forecasts and valuations, minimizing business risks
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Want to implement AI in your real estate business?

Nextrope specializes in implementing AI and blockchain solutions tailored to specific business needs. Our expertise allows us to:

  • Create intelligent chatbots that serve customers 24/7
  • Implement analytical systems for property valuation
  • Build secure blockchain solutions for real estate transactions
Schedule a free consultation

Or check out other articles from the "AI in Business" series