The Growth Of Low-Code And No-Code Development And The Influence Of AI On Their Evolution – Soneye Oluwasina

AI is changing the software development ecosystem in a way that has never been done before. For quite some time now, Low-code and No-Code platforms have been available with entities like Flutterflow, WordPress, Webflow, Microsoft Power Apps, and Salesforce amongst others. These utilities enable people with almost zero programming knowledge to easily create applications, automate workflows, and provide digital solutions. While these platforms promise easier access, they also put the future of traditional software engineering into doubt. Part of this change is how fast Artificial Intelligence (AI) and AI tools evolve to push more power and growth into the enhancement of such development tools.

Why Is There an Increase in Low-Code and No-Code Platforms?

The need for these platforms has increased as a result of our growing reliance on digital transformation. Applications can be developed more quickly by businesses thanks to shorter development cycles, reduced costs and increased accessibility for those with little to no prior experience. AI increases agility by empowering businesses or individuals to effectively address market demands. These tools become even more potent as AI-driven automation’s growing capabilities enhance workflows and accurate market prediction. Platforms that require little or no code can help businesses cut expenses. Hiring qualified engineers is necessary for traditional software development and this can be costly. These platforms enable companies to develop applications with fewer resources lowering operating expenses without sacrificing effectiveness.

Furthermore, non-technical users can access these platforms more easily. A broader audience can now engage in digital innovation since people without formal programming training can now create applications as citizens, small business owners and entrepreneurs. Also, automation of repetitive tasks and incorporating data-driven AI-powered insights increases workflow efficiency and frees up time for more strategic business endeavours.

Low-code and no-code development and the role of AI.

AI is being incorporated into low-code and no-code platforms more and more, increasing their functionality and efficiency. AI-driven tools enable users to generate code, identify and correct errors, receive intelligent recommendations and use natural language processing to convert descriptions into functional code by automating complex tasks. AI also enhances external service integration increasing the usefulness of the platform. AI can also examine how users behave and recommend changes to enhance the user experience and application performance.

1. Auto-Generate Code – AI can write and optimize code snippets, making it easier for users to create applications without deep coding knowledge.
2. Automated Debugging – AI tools can detect and fix errors in real-time, improving software quality.
3. Intelligent Recommendations – AI-powered suggestions help users make better design and development decisions.
4. Natural Language Processing (NLP) – Some platforms now allow users to describe what they need in plain language, and AI translates it into functional code.
5. Seamless Integration – AI enhances the ability of no-code and low-code platforms to integrate with external services, expanding their utility.

Limitations of Low-Code and No-Code Platforms Enhanced by AI.

These platforms have significant disadvantages despite their benefits. Due to the possibility that AI-generated solutions won’t satisfy every business’s unique requirements, customization may be limited.

1. Limited Customization – AI-generated solutions may not meet the specific needs of all businesses.
2. Scalability Challenges – While AI improves efficiency, these platforms still struggle with scaling complex applications.
3. Security Risks – Increased automation may introduce new vulnerabilities and reduce user control over security.
4. Vendor Lock-In – AI-driven platforms may restrict flexibility, making it difficult to migrate applications elsewhere.
5. Job Market Disruption – Traditional developers may find fewer entry-level opportunities as automation becomes more advanced.

Furthermore, data privacy is still a significant concern in anything AI, particularly in highly regulated sectors like finance and healthcare. Companies with crucial customer data tend to have strict laws in place regarding the use of AI in most technologies so as not to expose client data. This limitation can infringe on how much AI is to be used in low-code and no-code tools.

Lastly, wide adoption of no-code and low-code tools could affect how new engineers to obtain real-world experience which could make it more difficult to develop a skilled workforce

The Impact of AI on Software Engineering Positions.

AI-driven low-code and no-code platforms are changing the focus of software engineers rather than replacing them. Engineers now develop intricate system architectures improve AI models and guarantee smooth integration with current infrastructure in place of routine coding. Engineers must uphold industry standards as cybersecurity and compliance have become more crucial as AI streamlines development.

Businesses are looking for experts to direct AI-powered development which is also generating new job opportunities. For high-performance applications that are outside the purview of low-code tools, custom software engineering is still crucial even in the face of automation. Instead of displacing software engineers, AI is reshaping them to focus on advanced problem-solving security and strategic decision-making.

The Nigerian Perspective: AI’s Role in Local Tech Innovation

AI-enhanced low-code and no-code development presents significant opportunities for Nigerians. Entrepreneurs can launch tech businesses with fewer resources, bridging the skill gap by allowing non-technical professionals to participate in the digital economy. With a rapidly growing startup ecosystem, these platforms provide local businesses with affordable solutions to develop custom software without incurring high development costs.

Government institutions can use AI-powered automation to streamline public services. Digitization efforts in areas like healthcare, education, and governance can be accelerated through AI-driven development tools, improving service delivery and operational efficiency. Additionally, AI and cloud computing are driving job creation, with an increasing demand for skilled professionals who can manage and optimize these platforms.

AI-driven financial services are improving access to banking and fintech solutions. Mobile payment platforms, digital lending services, and blockchain-based financial products are making financial services more inclusive, allowing unbanked populations to participate in the economy.

Challenges still exist, including unreliable internet infrastructure, which hinders access to cloud-based development tools. Data privacy concerns must also be addressed, as increased reliance on AI-generated applications raises security risks. Slow adoption due to a lack of awareness remains a barrier, requiring efforts to educate businesses on the benefits of AI-enhanced low-code and no-code platforms.

Nigeria also faces a shortage of AI specialists, making it difficult to fully leverage these tools. To address this gap, investments in AI education and training programs are essential. Regulatory uncertainty regarding AI governance remains an issue, potentially affecting ethical AI adoption in the country. Clear policies and guidelines must be established to ensure responsible AI usage and prevent potential misuse.

The Future: AI and the Next Phase of Software Development

Low-code and no-code development, coupled with AI, is driving the next wave of digital transformation. Rather than replacing developers, AI is shifting its focus toward higher-value problem-solving and innovation. Businesses and governments alike must embrace these changes, ensuring that technology serves as an enabler of progress rather than a disruptor.

AI-powered automation will continue to evolve, leading to more sophisticated development tools. Future advancements in AI-driven coding assistants, machine learning-based optimization, and automated security testing will further enhance low-code and no-code platforms. Organizations that adopt these technologies early will gain a competitive edge by increasing efficiency and reducing development costs.

As AI continues to evolve, those who adapt and integrate it effectively will lead the future of software development. The rise of AI-powered low-code and no-code platforms marks a new era—one where software engineering meets intelligent automation, making technology more accessible, efficient, and innovative than ever before.

Soneye Oluwasina A. Software Systems Development Engineer at GENEO Softwares Limited in the UK & a pioneer  Tech Ace Programmers Hub.