Generative AI is taking the world by storm. How can it help propel the no-code/low-code movement? Read more in this article.
Artificial intelligence (AI) has become a buzzword, foreseen to drastically change the business landscape. When OpenAI released ChatGPT in November 2022, it took the whole world by storm. Since then, we’ve been incredibly amazed by how it can communicate—more so, create pieces of content like text, images, and clips.
But did you know that genAI can be used for coding as well? It can generate codes to help you keep up with app development and web design trends. And sure enough, it will change how we perform coding as early as now and in the near future.
But how exactly does it work?
Fret not; This page covers the use of generative AI specifically for low-code/no-code (LCNC) development. Find out how this technology will significantly impact the coding industry.
Read on.
What Is Generative AI?
Generative AI (genAI) is a type of AI that is considered one of the most popular technologies available today. This AI technology can create content such as text, images, audio, videos, synthetic data, and even codes. All it takes is to use prompts, and the AI model will rely on its algorithms to generate relevant content for you.
Image source: ChatGPT
Think of ChatGPT as capable of pursuing human-like conversations with digital bots. Likewise, consider DALL-E used to produce visually appealing and bizarre images. Thanks to OpenAI, it has emerged as a leader in AI innovation by paving the way for the development of evolving models like the GPT (Generative Pre-trained Transformer) series.
GenAI is not necessarily brand new since we can trace its inception back to the 1960s as a form of chatbot. It was only in 2014 that it could truly generate real text, images, and videos with the emergence of generative adversarial networks (GAN) using machine learning (ML) algorithms. However, OpenAI has recently fueled its sudden rise, leading to rapid advances in large language models (LLMs).
Statista cites that the global generative AI market could grow by leaps and bounds between 2023 and 2030. In fact, its market growth is projected to rise from nearly $45 billion last year to over $400 billion by 2030.
Further, the role of AI in web design and app development is apparent. As cited, GenAI can produce codes for building websites, software apps, and other digital platforms. It’s expected to disrupt the code development industry, hopefully for the better.
But first, learn the difference between low-code and no-code development in the next section.
The Difference between Low-code/No-code Development
Businesses are looking for innovative ways to improve their code development processes. Gone are the traditional programming days when developers spent hours and hours coding to build websites and develop software. Today, the low-code and no-code (LCNC) platforms can help you create web pages and software apps with zero-to-minimal technical expertise in an instant!
But what’s the difference between the two? Find out below.
- Low-code development: This approach uses graphical user interfaces (GUIs) and drag-and-drop tools to simplify web/app development. As such, your pool of developers can create web pages and apps with only minimal hand-coding. They no longer require the technical knowledge and skills that traditional programming demands.
- No-code development: This approach advances the concept of low-code development. As the name implies, your expert developers and even ordinary users can create websites and applications without coding at all. They do this by using no-code website builders and/or app tools with pre-built templates and advanced features. Incredibly impressive, right?
The low-code/no-code development sector has transformed the corporate landscape, and it shows no signs of stopping or even slowing down.
According to Gartner, the global market could generate $26.9 billion in revenue in 2023, up by nearly 20% from 2022. This market growth was due to evolving technology and increasing hyper-automation among businesses.
To make informed decisions, discover how genAI will impact the LCNC development industry in the next section.
How Generative AI Will Change Low-code/No-code Development
In this digital age, individuals and companies have increasingly relied on digital platforms for personal and professional purposes. They use websites and software apps for business processes as well as leisure and entertainment. Thanks to low-code and no-code platforms, they have made these technological advancements plausible.
Enter the future of AI for marketing and business in general.
GenAI has become such a game-changer in the code development industry. In fact, Grand View Research predicts that the global no-code AI platform will grow from $3.83 billion in 2023 to $24.42 billion at a 30.6% compound annual growth rate (CAGR).
How will generative AI impact the low-code/no-code development industry? Here’s how:
1. GenAI guarantees easier, faster, and better code generation
Generative AI can make the entire web/app development process more seamless, efficient, and effective. For one, it can generate customizable codes swiftly, allowing for improved functionality over current low-code solutions that use pre-written code snippets. Likewise, AI learns from human behavior that could optimize no-code solutions by going beyond pre-built templates and drag-and-drop tools.
Derek Pankaew, Founder of Listening.com, recommends exploring GenAI for coding in building web and software applications. They, too, have started leveraging this technology to rebuild their audio apps for listening to academic papers.
Pankaew argues, “The low-code and no-code have recently become such game-changers in the coding industry. However, the introduction of genAI can further their progress and development by delivering unparalleled customization, high speed, and exceptional user experience. This AI technology can surely take the web and app development process to the next level.”
2. GenAI removes the entry barriers to coding development
Low-code and no-code development have already given access to those with zero-to-minimal technical expertise. Both novice developers and regular users can perform basic coding and even create web and software applications without the need for codes. However, genAI can further increase the accessibility and usability of LCNC platforms.
Jerry Han, CMO at PrizeRebel, suggests using genAI to empower both developers and users. In fact, the company has started capitalizing on this technology to optimize its website and app. Its goal is to improve the UX for those willing to take paid surveys.
Han says, “Business enterprises will benefit tremendously from integrating GenAI into low-code and no-code platforms. As the learning curve for designing applications shortens, users will more likely adopt this technology to improve their web pages and software applications.”
3. GenAI bridges the gap between levels of technical expertise
In line with providing accessibility, generative AI evens the playing field between experienced developers and those with less coding knowledge and skills. It even gives access to web and software development even with no coding knowledge at all. Ultimately, this technology serves as an on-the-fly mentor for users and a time-saving tool for experienced developers.
Image source: ChatGPT
Grant Aldrich, Founder of OnlineDegree.com, highlights the value of generative AI for coding in the web and app development process. By offering online courses, they seek to improve the digital experience for their students—generative AI is key!
Aldrich explains, “GenAI will transform web and software development by making advanced coding abilities accessible to all. It offers real-time coaching and help, bridging the gap between new and experienced developers. But what’s more promising is how it will allow users to build websites and software apps without the need for coding at all.”
4. GenAI ensures coding accuracy, efficiency, and productivity
Generative AI automates routine, repetitive, and rule-based coding tasks. As such, it speeds up development processes, gets rid of human errors, and even gives productivity a boost. While this enables professional developers to focus on more complex tasks requiring manual intervention, it also allows users to try building web and apps seamlessly, efficiently, and effectively.
Logan Mallory, Vice President of Marketing at Motivosity, underscores the technological breakthrough GenAI promises in the web and software development field. By offering web and mobile apps for employee rewards and recognition, Motivosity is witnessing how AI is gradually changing the digital landscape.
Mallory believes that “Artificial intelligence and machine learning are transforming business process automation and application integration. They make them easier to implement and more accessible to non-technical people. These advances establish streamlined operations, resulting in better efficiency and improved productivity. ”
5. GenAI paves the creation of more robust web/software apps
Generative AI streamlines the low-code and no-code development processes. As cited above, it can promote data accuracy, improve work efficiency, and increase coding productivity. So what can we expect? This AI technology can create highly reliable web pages and software applications for excellent UX.
Roman Zrazhevskiy, Founder and CEO of MIRA Safety, lauds the impact of genAI on the web and software development field. MIRA Safety has started leveraging this technology to update its website. It also plans to build an app to promote and sell its protective gear and accessories.
Zrazhevskiy explains, “GenAI opens doorways for the development of various web and app solutions. Not only does it optimize manual coding tasks, but it also goes as far as eliminating the coding part from the overall equation. Soon enough, expect more and more LCNC platforms to come your way and become readily available in the market, all at your disposal.”
6. GenAI promotes technological innovation and business scalability
Generative AI is a technological breakthrough on which every developer and user must capitalize. Not only does it promote technological innovation in the web and software development sector, but it also helps companies scale up and down. This AI technology paves the way for an inventive environment, allowing users and developers to explore cutting-edge tools and arrive at world-class solutions.
Gerald Lombardo, Head of Growth at Popl, has his fair share of using genAI for web and software development. As they exist to create and innovate online business cards, they employ AI and integrate them with their low-code and no-code development processes.
Lombardo believes that “Combining LCNC platforms with AI technology leads to the rise of ground-breaking websites and apps. Both developers and users can quickly prototype advanced solutions that overcome traditional coding limits. They can even go as far as building web pages and software applications without the need for codes at all. GenAI is key!”
7. GenAI offers cost-saving and profit-generating opportunities
Utilizing generative AI can help you save money in your web and/or app development process. For one, it allows you to reuse code parts to eliminate the need for major writing. Likewise, the no-code platforms require no coding at all, as the name would suggest. Ultimately, it can reduce your expenditures while you focus on generating more profits for your business.
Tom Golubovich, Head of Marketing & Media Relations at Ninja Transfers, recommends GenAI for its cost-saving benefit and return on investment (ROI) opportunity. This printing company seeks to update its website and create apps using LCNC platforms to save money and boost profits.
Golubovich explains, “Generative AI generates considerable cost savings and profit opportunities by allowing smaller teams to do more with less. This technique decreases the need for lengthy rewriting and saves recruiting costs, hence improving overall financial management. Investing in this technology initially might be costly, but it will pay off in the long run.”
Final Words
Artificial intelligence carves the future by gradually changing the business landscape as early as now. Specifically, generative AI shows a lot of potential in optimizing the low-code/no-code platforms. It’s safe to say that it will significantly impact the coding development scene.
As explained above, genAI will provide accessibility to almost all by removing the entry barrier to coding. It will also improve code generation accuracy, efficiency, and productivity. That ultimately translates to technological innovation and business scalability for every company.