Given that coding is the enabler of our digital future, code’s own UI credentials are somewhat lacking. Unforgiving and pedantically granular, coding languages have long been the gatekeepers of software creation, with digital world-building the province of skilled developers.
Theoretically, programming software using the most elemental building blocks allows for the purist level of refinement. In practice, coding rarely begins with a blank page and a keen mind. Much is adapted from other projects, or created using high-level languages like Java, PHP and Python, which draw from a library of preconfigured capabilities.
Given these accepted forerunners, it’s perhaps a surprise that the low code platform struggled to gain traction as a ‘serious’ application development option when it entered the market some years ago. All the more so given its enticing premise. LCAPs offer enhanced productivity, made easier by appending coding with component-based configuration. LCAP platforms still require professional developer input but shortcut simple elements with pre-coded modules. Some are not cloud based and require local installation, making them ill-suited to remote working. While their prewritten components do save time, the hand-coded elements are as unforgiving and error-prone as within pure-code projects.
Potentially it was targeting their platform to developers that inspired resistance. Low code platforms promised a threat to developers’ high-demand roles and circumventions of their language masteries. Alternatively, perhaps the premise wasn’t radical enough, offering developers modular coding blocks at a time these already existed within the coding languages themselves. Either way, it took low code platforms a notable time to enter the fray.
No code platforms are the more modern iteration of low code platforms, offering a gateway to application creation for the non-technical masses. Most no code app builders have simplistic capabilities and basic integrations to whip up ‘tech lite’ apps in a fraction of the time of even low code. A visual interface and preconfigured drag and drop components make application development straightforward and allow anyone to create their own tailored system.
Aimed at the non-technical community, no code platforms’ crowd-pleasing ‘application building for all’ message grants anyone citizen developer credentials. Non-tech teams are empowered to create their own systems, and development team responsibilities are reduced. Less finickity composition also means less room for error, for swift creation and improved time to value.
However, no code platform apps have conventionally been hamstrung by their own inherent simplicity. Drag-and-drop and drop-down operation has been unable to translate to finer customisation, meaning they can’t always grow with scaling companies, or meet complex enterprise business needs. This lack of complexity means businesses can’t be assured no code platforms can become their single source of truth for data management – the platform risks becoming ‘just another software silo’ among the rest.
Autonomous Software further accelerates the app-building process, for unparalleled time to value. This next-generation platform appends the inclusivity of NCAP with the enterprise-level potential of LCAP. With platforms such as Intelastel, trailblazing business users and citizen developers can create complex, enterprise grade applications, swiftly, simply, and without technical expertise. The results are applications that are built quickly and that allow business leaders to transform their organisation overnight.
Integrate data from existing systems easily and securely, roll out new workflows readily, and easily revise, remove or add to your new system without lengthy processes. Newbie trailblazing business users and citizen developers can create and configure new applications from pre-built templates for a flying start, using inbuilt architectural best practice. More experienced creators can make applications from scratch to deliver bespoke systems out of the box, perfectly tailored to their needs.
Autonomous Software uses AI to augment the application creation process, guiding the process and automating some of the more complex tasks and helping with the discovery of new problems to solve, removing the need to understand coding, and leaving you free to focus on the business problem you are working to solve. There’s no need to worry about the user interface if you don’t want to, the AI takes care of that based upon the data you are accessing and the use case you’re building the application for. And it learns; over time recommending improvements based upon how you most commonly access and use the system, recognising data types and suggesting workflows. It’s all about augmenting the human experience, reducing complexity and accelerating time to value.
From learning letters on the path to reading, to the full span of evolution, advancement has always depended on iterative creation, the apex of each achievement becoming a stair towards the next. Business application creation has moved from raw machine code and low-level languages to high-level, interpretive coding, to low code to then to no code. Autonomous Software represents the latest stage of evolution for creating business applications, blowing the lid off systems creation, enabling trailblazing business users to create their own applications quickly and when they need to, and allowing software to stay in step with business growth.
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