NFT game development – everything you need to know before launching your own project

Maciej Zieliński

14 Dec 2021
NFT game development – everything you need to know before launching your own project

NFT games might be the hottest trend in the whole gaming industry right now. If you consider joining it, read our guide, where we summarized their creation step by step. Check out experts’ insight on NFT game development.

Table of contents:

  • What are NFTs?
  • NFT and Gamming Assets
  • Advantages of NFT that the gaming industry may use 
  • NFT game development step by step
  • Hiring an NFT game development company

NFT games - why does it make sense?

What sounded unbelievable just a few years ago, is slowly becoming a mainstream reality today. Blockchain games have gained significant popularity. They revolutionize popular gaming genres by redefining the way we think about gaming assets and in-game purchases.

But besides hype, what exactly does make NFT a good choice for the gaming business?

NFT - what are they?

NFT stands for Non Fungible Tokens. But what does it mean? Among various blockchain token types, we differentiate between fungible and non-fungible tokens. (You can read here more about token types

Examples of the first kind are Bitcoin or Ether. Fungible means that a single token is indistinguishable from others in the same ecosystem. Just like in regular currency. Thus, they can be used for payment transactions.

NFT’s non-fungibility means that every token in the system is unique. NFTs don’t have a common value and often do not allow for an equal exchange (NFT for NFT). Each token represents unique information of ownership or identity.  

In the blockchain world, NFTs are digital assets that represent a unique digital or real item. How can we use them in the game ecosystem?

NFT and game assets
NFT and game assets

NFT and game assets

The gaming industry is a powerful branch fueled by its consumers’ passion. When gamers launch their favorite title, they immerse themselves in a new, alternative world. A quick look at the most popular games of the last decade, like League of Legends, Fortnite, or Counter-Strike, should be enough to see how modern gamers care about their characters, skins, and other in-game items. They treat them as an extension of their creative self. And what’s important, they can pay a lot for it.

The will to build a collection of unique items is nothing new. The games have shown us how far beyond the real world this phenomenon could extend. But do the purchased gaming collectibles become their property? Do these items differ somehow from the ones possessed by others? What is the true asset value? Often the answer is not so simple. During the last few months, NFTs showed us that they might change that. 

Everywhere where users collect and trade virtual gaming assets, NFTs can highly improve their gaming experience. Essentially, they assure players about the authenticity and scarcity of gaming assets and allow them to keep full ownership of the purchased assets. 

Collectible games seem to be a perfect environment for NFTs. That’s why we have seen a rapid growth of projects of such type during the last year. Yet, the potential of NFT gaming solutions goes far beyond them. Just think about online board games or PVP battle games. 

As an example, let’s take multiplayer games like the aforementioned LOL or Fortnite. Possessed skins and champions are of great importance to the players. Saving such virtual assets as NFTs would bring tremendous new possibilities. What if the players had complete control over the ownership rights to their game assets?

NFT game development - advantages
NFT game development - advantages

NFTs’ most important characteristics for gaming platform

  • Scarcity 
  • Verifiability 
  • Transparency 
  • Immutability 

Advantages of NFT gaming platform

  • Launching an NFT game can offer significant revenue-generating opportunities.
  • Demand for in-game assets increases its native token value.
  • Players can sell their virtual assets on a free market.
  • Players are assured about the scarcity of their virtual assets.
  • Thanks to NFT, implementing a play-to-earn model is possible.
  • Earning possibilities attract many players to NFT game platforms.
  • The current hype around NFT may be used as a driving force for your marketing campaigns. 

NFT gaming platform development step by step

NFT games design
NFT games design

Design

Define your idea 

What type of game do you want to build? Will it be a card game or maybe an RPG? Besides the genre, you have to decide its topic. Those will be the first steps of your own NFT gaming platform development.

When you determine these factors, try to find similar non-blockchain games. They will be a great starting point. Examine what worked in their cases and use them as an inspiration. 

In which games NFTs may be useful? 

You would be surprised how varied NFT games can be. Below, in brief, we summarized games’ genres where NFT usage would make sense:

  • Action Games
  • Adventure Games 
  • PvP Battle Games
  • Arcade Games
  • Online Board Games
  • Casino Games
  • Card Games
  • Fantasy Sports
  • Racing Games
  • Sports Games
  • Simulations Games

Bring creatives to your team 

It sounds a bit obvious, but in the NFT industry design seems to be everything. The same goes for the NFT gaming platform. Without interesting graphics, your game probably won’t attract many players. 

Do you think that creating appealing pixel art shouldn’t be difficult? You couldn’t be more wrong. Even a simple design requires skills and experience, without which your project will be simply dull and unsightly. Hence, don’t forget about artists that will bring your game to a new level. 

NFT game development
NFT game development

Development

Decide between a mobile app and a web app

This is one of the first questions you will have to answer approaching NFT gaming platform development. Both options have several pros and cons. 

Firstly, web apps are highly available and more accessible for a broader audience. On the other hand, mobile apps offer more features and are usually faster than web apps. Yet, the process of their creation is more time-consuming. 

If you decide on a mobile app, you will have to choose between native and non-native apps. While the first type is designed for a specific operating system, the second works on all of them. But at the same time, it doesn’t have access to functionalities, such as camera access or notifications.

Choose your game environment

To which blockchain will you connect your NFT game? While most of the NFT games use Ethereum Blockchain, there are alternatives worth considering. Check, for example, Solana Blockchain, which offers promising possibilities for NFT development. 

Also, even within just Ethereum, you have numerous different Layer 2 solutions that may increase the speed and accessibility of your NFT game. One that is definitely worth considering in the case of NFT games is Immutable X, designed specifically to support projects of this type.  

Frontend 

Most NFT games have their frontend done in Javascript or Typescript. As for the framework, the choice is between React and Vue. The majority of game developers use the first one. Angular is also an option, yet for most projects, it’s simply too heavy considering their needs. 

Connection with wallets 

Your NFT game should be connected with at least one of the available crypto wallets to allow players to safely store their NFTs. Most projects during NFT game development choose MetaMask

MetaMask offers certain advantages: it’s non-custodial and can store NFTs. Therefore it's extremely popular among NFT holders.

Backend 

For NFT game development Node.js is one of the most popular options as a backend language of NFT gaming platform solutions. 

Testing 

Rinkeby or Ropsten Testnet are reasonable options for testing NFT games. Yet, they’re definitely not the only ones. 

Launching and distribution 

After testing your app on a testnet you will want to deploy it to the main Blockchain network (mainnet). Don’t rush here, as there are several threats that may disturb this process. Give yourself time to properly test everything before. Here you can find a useful guide for the Ethereum network. 

But the success of your NFT game requires far more than just completing NFT game development. You mustn’t forget about a strong marketing strategy. Consider starting users’ engagement before you will eventually launch your game. Think about creating content, discord channels, Reddit groups. In the end community, you build may turn out to be extremely useful for further development. 

NFT game development company - Nextrope

Above we briefly summarize tools and programming languages that can be used during NFT gaming platform development. Yet, every project is unique and has its own requirement. Therefore, your development team should be able to adjust to those needs, as well as be prepared to overcome unpredicted obstacles that may emerge.

Furthermore, if you consider launching your own NFT game, you should be aware that its success requires skills and knowledge regarding both the technical and business sides of the Blockchain industry. That’s why many projects decide to hire an external blockchain company as a technological partner.

At Nextrope, we can call ourselves pioneers of Blockchain technology in CEE. We conducted one of the first tokenization in the world and since that we keep up to date with the industry. NFT games aren’t an exception. 

Do you want to know how Nextrope’s team can boost your NFT game on a new level? Feel free to contact our specialists who will gladly answer all your questions.

Tagi

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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