AI has revolutionized our world, making traditional coding unnecessary. Now, the key question for businesses is: what comes next?
It’s easy to guess that things have just begun, and AI software development has become one of the links in the chain reaction of changes. Those who are able to anticipate what will be trendy can outperform their competitors.
For example, Netflix has started streaming before its main enemy, Blockbuster, and…did you hear anything about Blockbuster in the last few years? Right, nothing.
Let’s take a close look at the big-picture trends that will define AI software development in the next five years. We will not read tea leaves or make empty assumptions. Just talk about the real shifts happening in the industry, backed by data and expert insights.
Dive in
No-code, low-code & technological minimalism
In the context of AI software development, no-code and low-code refer to an easy way to create apps with no or minimal coding expertise.
Low-code platforms are highly flexible. They operate using visual interfaces and pre-built components, and they allow businesses to rapidly prototype, iterate, and deploy applications with minimal coding expertise. Compared to conventional app-building platforms, no-code solutions consume 70% fewer resources. What’s more, they enable faster deployment, lower AI software development costs, and reduced dependency on large IT teams.
This approach is highly effective for businesses because, as a company owner, you don’t need to hire programmers or invest extensive time and resources to roll out your product. Speed and efficiency are above everything else.
One potential consequence of low-code and no-code is tech inclusion. Now, even small businesses and non-profit organizations can participate in the competitive innovation race.
Given all of the above, we can safely say that no-code and low-code will be a hot trend in 2025 and upcoming years. The low-code market is expected to generate $187 billion by 2030!
Why use no-code and low-code platforms?
- Need for speed
First and foremost, no-code and low-code tools are 10x faster. They can reduce the AI software development development time by 60%!
72% of low- or no-code users finish their business ideas in just three months. With Flatlogic’s code generator, it could be even faster! You need just a few minutes to see your app live.
- Increase your revenue
Companies that use low-code or no-code tools can increase revenue by 58% on average. Instead of hiring large dev teams, companies can reallocate budget to sales, marketing, or expansion. Airbnb’s founders initially built their prototype using no-code tools before raising millions in funding.
- Be innovative
Stats say that companies that implement new tools are 65% more innovative. With the help of the low-code and no-code tools, you have a rare opportunity to experiment and try new features to act quickly and see a happy face of your customer.
- Plug, play, perform
We bet you use many tools to streamline your business operations. These could be custom ERP, custom CRM, or a marketing platform. You also probably use different payment methods, project management software, or communication channels.
Now, think: what if these systems do not communicate together? Just a big failure. However, if you use low-code or no-code tools. you can orchestrate everything.
- Set it & forget it
Forget about lengthy development cycles and extensive testing. The intuitive visual interfaces allow you to modify workflows, features, or integrations. You don’t need to supervise programmers for long months. Just quickly create your product and move forward without unnecessary delays.
Strategic recommendations
- Use low-code and no-code tools to prototype and automate repetitive tasks.
- Prioritize vendors offering exportable code, API integrations, and enterprise-grade security (Flatlogic’s code generator has these features!).
- Focus on low-code and no-code tools that can integrate with any existing systems, databases, and third-party services you use.
Important thing to consider: Many no-code and low-code platforms provide limited exportability, meaning once you build an app within their ecosystem, migrating it elsewhere is difficult. Choose platforms that allow you to export code (like Flatlogic).
Continued adoption of cloud and quantum computing
Cloud computing has become an essential pillar of AI software development.
Google states that, “”Quantum computing represents a fundamental shift because it’s not just a linear progression; it’s an exponential one.”
Aaronson, a leading expert in computational complexity and quantum algorithms, also highlights, “Quantum computing is one of the few technologies that could make the entire world economy look different.”
So, does cloud computing really matter? Migration to the cloud has become a new, effective go-to way to enhance collaboration and information sharing. According to Gartner, more than half of IT companies’ current budget will shift to the cloud in 2025.
Quantum computing is another big thing that is expected to become mainstream in 2025.
Quantum computing is a field of computing that uses qubits (unlike bits used in traditional computers). Although it’s early days, quantum computing already helps businesses solve complex problems much faster. This has applications in logistics, finance, and AI. We could also mention a multi-cloud approach, which helps to avoid dependence on a single cloud provider.
Flatlogic also uses cloud computing to enhance its functionality. When you generate an application using our code generator, the platform automatically sets up your web app on a cloud server, making it accessible online without requiring manual setup. This seamless deployment process ensures that your application is hosted and readily available in the cloud.
Why use cloud and quantum computing?
- Scale without limits
One of the primary reasons businesses embrace cloud and quantum computing is the ability to scale operations effortlessly. Whether you’re a startup or an enterprise, cloud solutions allow you to expand resources on demand without investing in expensive infrastructure.
Quantum computing, on the other hand, enables businesses to process vast amounts of data at unprecedented speeds, opening doors to solving complex problems that traditional computing cannot handle efficiently.
- Cut costs and boost efficiency
Consider how much money your organization spends on IT services. Companies that use cloud solutions save 20-30% on IT costs. Whatever cloud model you choose, you pay only for the resources you use.
Traditional on-premise infrastructure requires significant hardware, software licenses, and ongoing maintenance investment. Cloud computing eliminates these upfront costs and shifts IT expenses to a predictable, usage-based model.
Cost reduction is directly linked to an ability to move forward and boost efficiency. Salesforce research notes that the Cloud CRM software has helped increase sales productivity by 40%.
- Enjoy flexibility
Flexibility is critical for startups.
With cloud computing, you have automatic updates, which means your IT specialists can focus on more critical tasks. You won’t have to deal with outdated systems, as you always have the latest features and security fixes. You can also access information from any device.
Strategic recommendations
- Opt for cloud-native development to make your AI software development process cost-effective and secure.
- Leverage multi-cloud and hybrid-cloud solutions to improve flexibility and avoid vendor lock-in.
- Invest in cloud security best practices (e.x., encryption, disaster recovery planning, or IAM).
- Use cloud-based AI and ML services. This could help to enhance your applications without requiring on-premise infrastructure.
Increased use of artificial intelligence and machine learning
There is probably no need to explain the importance of AI and ML in 2025. But if you are among those few left with doubts, we hope we would be the one to convince you.
One simple truth: every business wants to achieve maximum efficiency possible. Right? Imagine you start using an old button phone while everyone around you has a smartphone. Does it make sense? Or let’s say you have decided to replace all documents in your office safely stored on your laptop with the paper copies.
You probably don’t want this scenario. And if we are right, you won’t refuse from AI and ML, as this simply does not make any sense in 2025.
According to Sai Chiligireddy, Amazon’s Software Development Manager for Alexa, “AI-powered coding assistants like GitHub Copilot, CodiumAI, and Amazon Q are becoming increasingly sophisticated, with the ability to understand an entire codebase and its surrounding context deeply. These assistants can explain the functionality of specific code segments and provide insights into the overall code flow and architecture. Their capabilities go far beyond syntax checking—they can generate code snippets on demand.”
Sai Chiligireddy also highlights the importance of AI agents, “2024 is already being called the year of AI agents,” Chiligireddy adds. “In the next five to ten years, I anticipate engineers will have access to a suite of specialized AI agents, each focused on a specific domain—one for project planning and risk management, another for design and architecture, a third for coding and optimization, and so on.”
There has already been much talk regarding the benefits of AI, so we’ll cover this issue briefly without repeating widely known truths.
Why use AI and ML?
- Work smarter, not harder
AI and ML are now the best ways to reduce the time needed on manual tasks that could take a lot of effort. Instead of hiring a whole team, you need only smart, tireless algorithms, which can save up to 30% of a company’s operational costs.
BBC claims that AI could even lead to a four-day workweek. Microsoft has already found that this technology could save about ten hours per week. Think now: what if you have additional 10 hours, what could you ask your employees to do?
- Deliver personalized and instant service
Today, people have a choice. We could say that there are even plenty of choices. The room for a mistake is quite small, and even one day of delay with an answer to a customer may force people to turn to your competitors (of course, if these competitors can do better!). Slow customer support has such consequences as decreased customer satisfaction, increased churn rates, and a loss of high-quality leads.
Companies such as Netflix or Amazon have proven that AI drives up to 80% of user engagement. With access to vast amounts of information, AI could better analyze and predict what customers would like and what they don’t.
AI is also used by such market giants as Starbucks (which has My Starbucks Barista virtual assistant to automate order placement and improve overall convenience), Sephora (which introduced its Sephora Virtual Artist chatbot for personal product recommendations), and a lot of others.
- Improve decision-making processes
AI and ML don’t just automate tasks, they enhance strategic decision-making. By analyzing massive datasets in real time, AI provides actionable insights, predicts trends, and minimizes risks.
With the help of AI and ML, businesses can optimize supply chains, improve financial forecasting, and enhance fraud detection. In financial forecasting, AI-driven models analyze vast amounts of historical and real-time data to identify patterns and anomalies. This allows businesses to make more accurate revenue projections, detect potential risks, and adjust strategies proactively.
Companies like JPMorgan Chase leverage AI for algorithmic trading, fraud detection, and risk management, significantly improving decision-making speed and accuracy.
Strategic recommendations
- Integrate AI-powered automation into your low-code/no-code applications
- Train teams to ensure effective implementation of AI and ML.
- Use predictive analytics to enhance decision-making.
Expert advice: To get the most of AI, use AI tools, which can help you simplify your business processes.
Enhanced cybersecurity and data privacy
The world of software programming has becoming more sophisticated. Cyberthreats are also evolving. You won’t see (or rarely see) eye-catching banners bombing your monitor and offering suspicious medicine or other less-known products. But the very fact that you don’t see them does not mean that these cyber threats do not exist anymore. They just have become invisible.
Why use enhanced cybersecurity and data privacy?
- Protect sensitive information
Modern businesses have vast amounts of sensitive information. Such are, for example, customer data, financial records, etc. A 2019 article by Cybercrime Magazine reported that 60% of small companies go out of business within six months of experiencing a data breach or cyberattack. So yes, thinking about your customer’s information is a must.
- Maintain customer trust
In 2013-2014, Yahoo suffered one of the largest known data breaches. All 3 billion of its user accounts were compromised. This incident has directly damaged the company’s reputation, which led to reduction of its price by $350 million. This example shows that customer trust is highly important, and businesses should truly care to maintain it.
- Mitigate financial losses
Mitigating financial losses has tremendous effect. IBM notes that the cost of a data breach reached $4.45 million, a 15% increase over the past three years. What’s also important, breaches are getting larger in scope. This highlights the critical importance of investing in advanced cybersecurity solutions.
Unlike revenue-generating projects, cybersecurity’s ROI is seen in losses prevented and risks mitigated. It’s often measured by the costs saved from breaches that never happen or are swiftly contained. What we can say for sure – the cost of prevention is far lower than the cost of a major breach.
Strategic recommendations
- Implement AI-driven threat detection and response systems to proactively identify and mitigate cyber threats
- Adopt data encryption and anonymization techniques to protect sensitive information
- Regularly conduct security audits and penetration testing to identify and address vulnerabilities
AI software development trends: Practical wrap-up
As you can see, the future of AI software development is bright, but only for those ready to lead the change.
At Flatlogic, we truly believe in technological progress and stand for innovation. We help businesses create custom software avoiding the complexities of high costs, as well as long and hard implementation.
Work with Flatlogic, and step into the future of the next-generation AI software development today!
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