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.

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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
Nextrope Logo

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

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!