In recent years, low-code platform solutions have emerged as a key strategy to meet the exploding demand for business software.
IT departments face a relentless backlog of application requests - over 70% of IT leaders report that project backlogs are preventing them from working on strategic initiatives, and 77% say they simply don’t have enough developers to build all the solutions their business needs. The result is an acute developer shortage (an estimated 4 million deficit globally by 2025). Low-code development has risen to address this gap by enabling faster delivery with minimal hand-coding. It allows organisations to build applications quickly through visual interfaces, alleviating pressure on overstretched IT teams. In fact, 84% of businesses are now using low-code or no-code tools specifically to reduce the strain on their IT departments.
Originally popularised for “citizen developers” (non-technical users), low-code is not just for business users – it has become equally crucial for professional software developers and IT teams. Enterprise-grade low-code platforms let experienced developers accelerate routine app development while maintaining the necessary control, governance and integration with existing systems. This article provides a balanced, global perspective on low-code platforms that target developers and IT teams: their growing adoption worldwide, key benefits in an enterprise IT context, as well as the challenges and considerations to keep in mind. We also explore how modern low-code platforms intersect with trends like workflow automation, DataOps and AIOps, and conclude with how to choose the right platform for your organisation’s needs.
Low-code development is a global phenomenon, not a US-centric trend. Around the world, organisations are embracing low-code to speed up digital transformation. North America currently leads in adoption (an estimated 50-55% of companies use low-code in some form), but Europe is close behind with roughly 40-45%, and the Asia-Pacific region is rapidly catching up at 35-40% adoption. Even in emerging markets across Latin America, the Middle East and Africa, uptake is growing steadily as businesses seek quicker ways to build software solutions. A recent survey of 715 enterprises in Europe, the Middle East and Africa found that ~60% of managers already consider low-code “critical to very critical” for their business operations and strategy – underscoring how important this approach has become across regions, not just in tech hubs.
Analysts project extraordinary growth in the low-code market over the coming years. One strategic report estimates the global low-code development platform market will soar from about US$41bn in 2023 to UA$388.6bn by 2030, nearly a tenfold increase. This surge is driven by the urgent need for agile application development amid a worldwide shortage of skilled software developers. Gartner forecasts that by 2025, 70% of new enterprise applications will be developed using low-code or no-code tools (up from less than 25% just a few years ago). Microsoft has similarly predicted that of an estimated 500 million new apps built over the next five years, 450 million will be created using low-code/no-code platforms - an astounding indication of how ubiquitous these tools are poised to become.
Importantly, this growth isn’t limited to small departmental apps. Organisations are increasingly trusting low-code for mission-critical systems and large-scale projects. Industries at the forefront of low-code adoption include financial services, healthcare, and manufacturing, using low-code to modernise legacy systems and rapidly deploy new capabilities. For example, banks are building customer-facing mobile apps and automating workflows to improve compliance, healthcare providers are creating patient management and telehealth solutions, and manufacturers are using low-code to integrate IoT devices and optimise supply chains. The appeal of low-code is truly global and multi-sector: it offers a faster, more inclusive way to deliver software solutions in any region or industry.
For IT professionals and software developers, low-code platforms offer concrete advantages in delivering business value faster and more efficiently. Here are some of the key benefits for technical teams:
Accelerated Development and Delivery: Low-code dramatically speeds up the software development lifecycle. By replacing many hand-coding tasks with visual modelling and pre-built components, developers can deliver applications up to 10x faster than with traditional code. In fact, low-code tools have been shown to reduce development time by 50-90% in many cases. This means IT teams can respond to business needs and deploy solutions in days or weeks instead of months. Faster delivery not only clears backlogs but also allows organisations to iterate quickly and gain a competitive edge. For example, one study found companies using low-code were often able to build and deploy apps in under 3 months, whereas traditional methods might take over 6 months.
Higher Productivity with Workflow Automation: A quality low-code platform doesn’t just create user interfaces - it also enables extensive automation of processes. Developers and IT analysts can design end-to-end workflows through drag-and-drop workflow automation software, streamlining everything from approvals and notifications to data processing tasks. By automating repetitive manual workflows, IT teams free up time to focus on higher-value projects. Organisations report significant efficiency gains after adopting low-code: in one survey, 44% of companies saw increased process efficiency and 39% noted improved employee productivity as a result of using low-code development. Much of this comes from the ability to rapidly build automations and integrate systems without writing glue code for each step.
Seamless Integration and Data Orchestration: Enterprise developers often spend enormous effort connecting disparate systems and data sources. Low-code platforms simplify integration through pre-built connectors and API integration tools, making it easier to link databases, enterprise applications, and even IoT devices into unified solutions. Modern low-code data orchestration capabilities (often referred to as DataOps) let IT teams visually create data pipelines and transformations across systems. This not only accelerates projects but also ensures data consistency under a governed framework. Crucially, today’s low-code platforms have evolved to support integration at scale – including handling real-time data streams and legacy system connectivity. Advancements in cloud architecture and APIs have made it possible for low-code platforms to seamlessly exchange data with other enterprise systems, extending functionality across different organisational platforms. In practice, this means a developer can quickly connect a new low-code app to an existing ERP or CRM system, or aggregate data from multiple sources, without custom middleware in each case.
Incorporating Low-Code AI and Advanced Capabilities: Low-code is also lowering the barrier to adopt emerging technologies. Many platforms now include AI-assisted features and integrations out of the box. This can range from built-in components for predictive analytics and machine learning, to natural language processing modules and AI chatbots that can be dragged into applications. By offering these as ready-made services, low-code tools allow IT teams to add intelligent features without needing a data scientist to code models from scratch. Furthermore, some platforms leverage AI to assist the developers themselves – for example, suggesting optimised workflows or even generating code snippets based on natural language prompts. These AI-assisted development capabilities can accelerate prototyping and reduce errors; early adopters have reported cutting development cycles by 40-50% using AI-enhanced low-code tools. For developers and IT teams, this means they can experiment with AI/ML solutions and incorporate them into enterprise apps much faster than before.
Improved Collaboration and Governance: Because low-code uses visual models and often includes cloud-based sharing, it naturally fosters better collaboration between business units and IT. Professional developers can work alongside business analysts or power users in designing an application, with each bringing their expertise. This closes the traditional gap between requirements and implementation – the people who understand the business problem can directly help shape the solution in a low-code environment. At the same time, IT retains governance by setting up the platform, managing user permissions, and ensuring security and compliance standards are met. In effect, low-code platforms create a common development language that both developers and less-technical stakeholders can participate in, under the watch of IT. This collaborative approach not only speeds up projects (by reducing miscommunications and rework), but also produces solutions that more closely fit business needs from the outset.
Many organisations are already reaping these benefits. Low-code adoption often results in tangible improvements: shorter release cycles, cost savings, and reduced backlog. It’s important to note that low-code does not replace skilled developers – rather, it amplifies their productivity by handling routine boilerplate and integration tasks, so developers can focus on high-value and complex aspects of projects. By empowering smaller teams to deliver more, low-code platforms help IT departments do more with less, which is invaluable in today’s climate of tight tech talent supply and fast-changing business demands.
While low-code platforms offer tremendous upside, IT teams and developers must also navigate certain challenges to implement them successfully. It’s crucial to approach low-code with eyes open to its limitations and risks. Here are some of the key challenges and how they can be addressed:
Preventing “Shadow IT” and Maintaining Governance: One risk of democratising software development is the proliferation of unsanctioned or poorly governed apps – often called shadow IT. Business users empowered by an easy tool might build applications without proper oversight. This can lead to a tangle of siloed solutions, inconsistent data, or even security vulnerabilities if those apps access sensitive information. In fact, shadow IT from unchecked low-code usage can increase technical debt and create data management headaches. To avoid this, organisations need to establish clear governance. IT should sanction a low-code platform centrally and implement role-based access controls, so that every app in development is visible and managed. Training citizen developers on best practices and setting up an approval process for deploying apps can ensure nothing mission-critical runs outside the IT radar. In short, low-code is most successful when IT remains in the loop as a guiding partner – platforms targeting professional developers inherently recognise this by providing admin consoles, user management, and audit logs to keep development transparent.
Security and Compliance Challenges: Any software development must consider security, and low-code is no exception. If a platform is used widely across the business, it becomes another surface area for potential vulnerabilities or data leaks if not properly controlled. Some IT leaders worry that the ease of low-code tools could let unvetted applications access enterprise data, or that third-party low-code vendors might not follow stringent security practices. These concerns are valid – a poorly governed low-code ecosystem could introduce compliance gaps. The good news is that leading low-code platforms are aware of these concerns and have been enhancing security features (secure authentication, encryption, audit trails) as a top priority. The onus is also on the organisation’s IT department to enforce compliance: integrating the low-code platform into existing security monitoring, performing regular audits of apps built, and ensuring that any use of customer data via low-code apps meets privacy regulations. When evaluating low-code solutions, IT should vet vendors for certifications, data handling policies, and the ability to set security roles and permissions within the platform.
Platform Limitations, Customisation and Lock-In: Professional developers often approach low-code with some scepticism because of limited flexibility in certain tools. Not all low-code platforms are created equal – some are very constrained, allowing only specific types of apps (and different types of low code platform) or offering a narrow range of components. Developers may chafe at the inability to write custom code when an edge-case arises, or fear that the platform generates opaque “black box” code that they cannot maintain or optimise. There’s also the concern of vendor lock-in: if your entire application is built in one vendor’s proprietary environment, what happens if you need to migrate or if the vendor’s roadmap diverges from your needs? These are legitimate considerations, as early low-code products did earn a reputation for inflexibility. However, modern low-code platforms targeting IT teams have made strides to address this. Many now provide the ability to extend apps with custom code or scripts when needed, and some use open standards under the hood to ensure your application’s code can be exported or managed outside the platform. Still, IT leaders should carefully evaluate platform architecture and export options before committing. A common complaint is that certain tools don’t provide full access to underlying code or data models, which can frustrate developers. The solution is to choose a platform that balances ease-of-use with technical depth – one that lets you dip into code or advanced settings if required. Additionally, clarify with the vendor how they handle data portability and what happens to your apps if you ever decide to switch platforms. Opting for a low-code provider with an open and transparent approach will mitigate lock-in risks.
Complex Projects Still Require Developer Expertise: “Low-code is so simple, anyone can use it” – this marketing message is only partly true. In reality, while non-technical staff can build basic apps, complex enterprise applications still need experienced developers involved. Many businesses have learned that you cannot side-line your developers; their expertise is critical in setting up the low-code environment, integrating it with internal systems, and handling any advanced requirements that go beyond the platform’s templates. Low-code development done at scale also introduces the need for proper software engineering practices (version control, testing, DevOps pipelines) which IT professionals are needed to implement. Additionally, if a citizen developer hits a roadblock or unknowingly creates a faulty logic, your internal development team will be the ones to troubleshoot and fix it. It’s best to think of low-code as a team effort between business users and IT, not a complete DIY solution for the business side. To maximise success, organisations should provide training not just for the citizen developers on how to use the platform, but also for professional developers on how to govern and extend low-code solutions. Establishing a centre of excellence within IT for low-code development is a recommended practice – this team can define best practices, provide support, and ensure quality control across all low-code projects. Embracing low-code means adopting new processes, and having your developers play a guiding role will ensure the platform is used correctly rather than haphazardly.
Managing Expectations and Culture Change: Finally, it’s worth mentioning the human side. Introducing low-code can shift how projects are delivered and who is involved in software creation. This often requires a culture change within an organisation. Some developers may be initially sceptical of low-code’s value or fear it could diminish the importance of traditional coding – open communication is needed to show that low-code is there to handle the repetitive work, not to replace skilled programming on complex tasks. Likewise, business users need to understand that low-code is not magic; just because they can drag-and-drop an app together doesn’t guarantee it fits all enterprise requirements or is immediately production-ready without testing. IT leaders should set realistic expectations: low-code will accelerate development and broaden participation, but it doesn’t eliminate the need for proper design, architecture, and testing. When rolled out thoughtfully, low-code can actually improve job satisfaction – developers focus on challenging tasks and architecture, while business users get more directly involved in crafting solutions, leading to better mutual understanding. The most successful low-code initiatives treat it as a new capability that blends with existing IT processes, rather than a total replacement. With that balanced mindset, organisations can avoid the pitfalls and fully leverage the power of low-code.
It’s clear that low-code’s benefits far outweigh the challenges, especially when governance is in place. Many of the issues (security, maintenance, integration complexity) are not unique to low-code – they echo classic IT concerns, just in a new context. By acknowledging these and choosing platforms geared towards professional development teams, businesses can mitigate risks. In fact, as low-code technology matures, vendors are actively closing these gaps. The trend is towards hybrid development models, where low-code is used for speed and productivity, and traditional code is used whenever deep customisation or optimisation is needed. This best-of-both-worlds approach is enabling even cautious IT departments to embrace low-code without sacrificing quality or control.
Modern low-code platforms are expanding their scope, going beyond simple form-based apps to address complex automation, data integration, and even AI-driven operations. This is especially valuable for developers and IT teams, as it means one platform can serve multiple needs. Let’s look at a few areas where low-code is making an impact:
Orchestrating business workflows is a natural fit for low-code. Through visual process designers, IT teams can rapidly configure sequences of tasks, approvals and integrations that span multiple systems – all with minimal custom code. A robust low-code platform often includes a workflow automation software module that enables triggers, actions, and conditional logic to automate processes end-to-end. For example, you could automate an employee onboarding process that integrates HR, IT, and finance systems, by simply dragging and connecting steps like account setup, equipment provisioning, and payroll enrollment. Low-code workflow tools can handle complex branching logic and parallel processes, accelerating what used to take months of coding to implement. The benefit for IT is faster deployment of automation and easier maintenance (updating a workflow is as simple as adjusting the visual diagram). Many organisations use low-code automation to eliminate manual work and human error in daily operations – from sending automated notifications to moving data between systems nightly – all of which boosts efficiency and consistency.
Data is the lifeblood of modern applications, and low-code platforms are increasingly equipped with powerful data orchestration capabilities. Using a low-code data platform environment, developers can design data pipelines and transformations through graphical interfaces. This means tasks like extracting data from one database, transforming it, and loading it into another system (ETL) can be configured without writing ETL scripts line-by-line. Low-code data tools often come with connectors for popular databases, cloud services, and even IoT data streams, enabling IT teams to unify data from anywhere with ease. The result is faster integration projects and more agile data management – an approach aligned with the principles of DataOps (applying agile and automation to data pipeline development). For instance, an IT team could quickly integrate a new SaaS application’s API with the company’s central data warehouse using low-code, ensuring that information flows smoothly between the two in real time. This level of integration is critical when enterprises pursue digital transformation, as it breaks down data silos. By leveraging a low-code data orchestration platform, technical teams ensure that the plumbing of data happens reliably in the background, while they concentrate on using that data for analytics and decision-making. The visual nature of these tools also makes it easier to adjust data flows as requirements change, contributing to a more agile data infrastructure.
The rise of AI has led to the concept of AIOps – using AI and machine learning to enhance IT operations and automate problem-solving in systems. Low-code platforms are beginning to play a role here by making it simpler to embed AI capabilities into applications and workflows. A modern low-code AI platform might offer pre-built components for things like anomaly detection (to spot IT incidents before they escalate), predictive analytics (to forecast trends from data), or natural language interfaces (for chatbots and virtual assistants). For example, with a few clicks, developers could incorporate an AI-driven monitoring tool that flags unusual network activity, or add an AI chatbot to a service desk workflow to handle routine support queries. This allows IT teams to implement intelligent operations without needing to develop complex AI algorithms from scratch. Furthermore, the advent of large language models (like GPT-4) has introduced the idea of LLMOps – operationalising LLMs within software. Low-code platforms are well-positioned to help here as well: some are integrating features where you can plug in a cloud AI service or a custom-trained model and then use it within your low-code application (for instance, to analyse incoming tickets or recommend actions). In addition, AI is being used within low-code development itself. As mentioned earlier, AI-assisted development features can generate portions of logic or suggest optimisations, effectively acting as a co-developer. The incorporation of these AI elements means that low-code platforms are evolving into intelligent development ecosystems. They not only speed up human developers but also automate parts of IT operations in live systems. As AI continues to grow in importance, we can expect low-code platforms to further blend with AIOps – offering dashboards for AI model management, easy ways to connect models to data pipelines, and one-click deployment of predictive services. This convergence of low-code and AI is enabling even resource-constrained IT teams to leverage cutting-edge AI/ML capabilities in their solutions, without a huge investment in data science expertise.
In summary, today’s low-code platforms provide a one-stop environment to build applications, automate workflows, integrate data, and incorporate AI-driven intelligence. This broad functionality is a major reason they appeal to professional developers and IT departments. A single low-code platform can replace what previously required a mix of separate integration tools, BPM (Business Process Management) suites, custom scripts, and machine learning projects. By consolidating these into a unified, easier-to-use toolkit, low-code platforms empower IT teams to deliver end-to-end solutions faster and more reliably. Whether it’s orchestrating data for an IoT project or deploying an AI bot for IT support, low-code approaches are accelerating innovation in all corners of the enterprise technology stack.
Low-code development has transitioned from a niche tool for simple apps into a mainstream enterprise strategy. Going forward, it’s clear that low-code will remain a cornerstone of how organisations deliver software. Importantly, its role will be complementary to traditional high-code development, not an outright replacement. We are likely to see hybrid approaches become standard, where teams use low-code for what it does best (speed, ease, enabling collaboration) and seamlessly integrate full-code development for the more complex or cutting-edge aspects. This means the most effective IT departments will be those that can manage both paradigms – leveraging low-code to satisfy business needs quickly, while still maintaining rigorous engineering discipline and custom coding when needed. The outcome is a more agile IT operating model where business innovation happens faster under the watchful governance of the technical experts.
For organisations looking to implement low-code at scale, choosing the right low-code platform is a critical decision. The ideal low-code platform for professional developers and IT teams is one that offers a balance between simplicity and power. Key capabilities to look for include: robust integration options (so it fits into your existing architecture), strong security and user management features, the ability to extend or inject custom code for flexibility, and support for advanced needs like data orchestration and AI/ML integration. Additionally, consider the vendor’s roadmap and openness – a platform that uses standard technologies under the hood and avoids trapping your data or logic in proprietary formats will serve you better in the long run.
Rayven’s Approach: As a global leader in low-code technology, Rayven offers a full-stack platform specifically designed to empower both developers and IT teams. Rayven’s platform provides an intuitive drag-and-drop development environment with the option of full-code extensions, striking the right balance between ease-of-use and technical depth. This means your developers can rapidly build applications and automations visually, then dive into code whenever customisation or optimisation is required - effectively addressing the flexibility concerns that many professionals have with low-code. Rayven also comes with built-in capabilities for data integration and workflow automation, allowing you to connect your existing systems and orchestrate processes without needing separate tools. Importantly for enterprise IT, Rayven places a strong emphasis on governance, security, and scalability: you retain control over who can build or deploy solutions, and every app built on the platform is secure, versioned, and auditable. With native support for AI and IoT (Internet of Things) use cases, Rayven’s low-code platform is equipped to handle modern AIOps challenges and future-proof your solutions.
By adopting a platform like Rayven, organisations can accelerate development of custom applications while ensuring that IT best practices are upheld. The result is faster delivery of innovation, reduced backlog and technical debt, and a closer alignment between IT and business outcomes. Rayven’s value lies in enabling you to do more with less – deliver complex projects in a fraction of the time and cost, without compromising on quality or control. It’s a low-code solution built for the realities of enterprise development.
Experience it yourself: Ready to see how Rayven can transform your development process? Start building today with a free trial or book a demo to explore the platform’s capabilities with our team. Empower your developers and IT teams with Rayven’s low-code platform, and accelerate your journey towards agile, data-driven, and intelligent operations.
A low-code platform is a development environment that allows users to create applications through graphical user interfaces and pre-built components instead of extensive hand-coding. While often associated with empowering non-technical “citizen” developers, low-code platforms for IT teams are specifically designed to meet enterprise requirements – providing professional developers and technical staff with tools to build software faster while still maintaining control over integrations, data, and security. In essence, it’s a way for developers to rapidly build applications and automations with minimal code, and for IT departments to deliver solutions more efficiently, all on a governed platform.
Low-code platforms offer several major benefits for IT professionals and developers. They accelerate development cycles, enabling teams to deliver applications in a fraction of the time compared to traditional coding (often 50–90% faster). This helps clear backlogs and allows IT to respond swiftly to business needs. Low-code tools also simplify workflow automation and integration tasks – developers can connect systems and automate processes with drag-and-drop ease, rather than writing extensive glue code. This leads to improved efficiency and productivity (44% of companies reported higher process efficiency after adopting low-code). Additionally, low-code platforms foster better collaboration between IT and business stakeholders through visual design that everyone can understand, reducing miscommunication. Overall, low-code empowers developers to focus on high-value work by handling routine aspects of app development, and it empowers IT departments to deliver more with the same resources.
Low-code platforms are not only for citizen developers – they are increasingly built for and used by professional software developers and engineers. Early on, low-code/no-code tools targeted non-programmers to create simple apps. But modern enterprise low-code platforms recognise that the expertise of professional developers is crucial, especially for complex projects. These platforms provide features that developers care about: the ability to add custom code, integrate with version control and DevOps pipelines, enforce security standards, etc. In practice, many organisations adopt a hybrid approach – business users (citizen developers) might create prototypes or departmental apps with low-code, but IT professionals oversee the environment, refine the applications, and handle integrations with enterprise systems. In fact, Gartner predicts that by 2025, about 80% of organisations will have non-IT staff actively building technology solutions, which makes it even more important for IT teams to be involved and choose low-code platforms that support professional development and proper governance. Low-code is most powerful when citizen developers and professional developers collaborate, each contributing their strengths.
Low-code development has gained significant traction worldwide. It’s estimated that over half of companies in North America are now using low-code in some form, with Europe and Asia-Pacific not far behind (e.g. ~40%+ of companies in Europe, and 35–40% in APAC have adopted low-code approaches). Surveys in EMEA have shown that a majority of business and IT leaders consider low-code critical to their future strategy. Globally, the market for low-code platforms is growing rapidly – forecasts project a nearly 10-fold growth from 2023 to 2030, reaching almost US$390bn in value. By 2025, roughly 70% of new enterprise applications worldwide are expected to be built with low-code or no-code tools. This popularity spans industries from finance and healthcare to manufacturing, as organisations everywhere look to develop software faster and address the shortage of traditional developers. In short, low-code has evolved into a mainstream approach to software development across the globe.
While low-code brings speed and accessibility, developers and IT teams should keep a few challenges in mind. Governance and shadow IT is a big one - if anyone can build an app, you risk having unofficial applications popping up without oversight. IT needs to set rules and use platforms that allow visibility and control to prevent security or data issues from unsanctioned apps. Security and compliance are also crucial: low-code apps must be secured just like any software, and the platform itself should meet enterprise security standards (e.g. encryption, authentication, audit logs). Another challenge is platform lock-in and limitations – some low-code tools can be restrictive, not allowing much customisation or export of code. Developers might worry about hitting a wall where they can’t implement a required feature due to the platform’s limits, or being too tied to one vendor. To mitigate this, it’s important to choose a flexible platform (ideally one that lets you extend with custom code and uses open standards). Additionally, organisations should recognise that complex projects still need coding expertise. Low-code is easier to use, but for large-scale applications or integrations, skilled developers are required to architect the solution and maintain it. In essence, IT teams should approach low-code as a new tool in their arsenal, but still apply the same diligence in design, security, and quality assurance as they would with traditional development.
Yes, one of the strengths of modern low-code platforms is their ability to integrate with existing systems, databases, and APIs. Most enterprise-oriented low-code tools come with a library of connectors and integration components that allow you to hook into popular enterprise software (CRM, ERP, databases, etc.) without writing a lot of code. You can, for example, connect a low-code app to your existing SQL database or Salesforce system through configuration. Low-code platforms also support API integration – if your organisation has custom or legacy systems, developers can use REST or SOAP connectors to communicate with those systems. In terms of data, low-code platforms often include visual data mapping and transformation features, so you can merge and manipulate data from multiple sources in your application. This is closely aligned with the concept of DataOps: a good low-code data platform will let IT teams orchestrate data flows and ensure that different software tools share information seamlessly. Overall, integration is typically a core focus of enterprise low-code platforms, because they know that new apps rarely live in isolation. When evaluating a low-code tool, it’s wise to check what pre-built integrations it offers and whether it supports connecting to all the data sources and services your organisation uses. The best platforms will be very open and integration-friendly, allowing you to extend their connectors or call out to external APIs for any systems that don’t have a built-in plugin.
Low-code platforms are increasingly incorporating AI capabilities to support building intelligent applications and to improve IT operations (AIOps). There are a couple of dimensions to this. First, many low-code platforms now offer AI components that you can plug into your apps – things like sentiment analysis, image recognition, predictive analytics, or chatbot interfaces. This means developers can add features like machine learning predictions or natural language processing to an application by dragging in a pre-trained AI service, rather than coding an algorithm from scratch. For example, you might drop a “predictive maintenance” module into an IoT app to forecast equipment failures, or use a language model integration to enable a customer service bot. Second, some platforms provide AI-assisted development features (sometimes called “low-code AI”) which use AI behind the scenes to make development easier – such as suggesting the next step in a workflow, auto-generating forms, or even writing snippets of code based on a description. This can significantly speed up development and reduce errors. Finally, regarding AIOps (AI for IT Operations), low-code tools can help implement AIOps by making it easy to integrate data from IT monitoring systems and apply machine learning to detect anomalies or automate responses. For instance, you could use a low-code workflow to take data from network logs, feed it into an anomaly detection model, and trigger an alert or corrective script if an issue is found – all configured visually. In summary, low-code platforms are keeping pace with the AI trend: they both allow organisations to incorporate AI/ML functionality into their software products faster, and they use AI to enhance the development process itself. This enables IT teams to leverage advanced AI tools without needing a team of data scientists for every project, which is a big win for resource-constrained departments.
No – low-code development is not a wholesale replacement for traditional coding, especially in large-scale enterprise IT. Instead, it’s best viewed as a complementary approach. Low-code excels at rapidly delivering standard applications and handling routine tasks, but there will always be scenarios that require the full flexibility and performance of hand-written code. Complex algorithms, highly specialised systems, or cutting-edge technology integrations might still need traditional programming. What’s happening in practice is a blend: many organisations adopt low-code for front-end interfaces, workflows, and simpler apps, while using conventional coding for the core backend systems or any component where they need fine-grained control. This hybrid model is becoming common. Low-code can also generate parts of an application which developers then extend – for example, a developer might use low-code to prototype a data dashboard quickly, then write some custom code to optimise a critical data processing function within that app. By doing so, teams get the best of both worlds: speed and agility from low-code, and the power of high-code where it truly matters. In short, low-code won’t eliminate the need for software developers; rather, it changes the nature of their work. Developers can offload boilerplate and repetitive tasks to the low-code tool, and focus more on architecture, design, and solving the tricky problems. This is one reason many forward-thinking IT teams are embracing low-code – it lets them deliver results faster without giving up the ability to code when they need to.