Despite popular belief, AI and automation won't replace us— they'll only enhance what we're already creating. Here's how no-code development is helping to make change possible.
Innovators across industries are currently using artificial intelligence (AI) and automation to transform workplaces in unprecedented ways. Despite this progress, some remain skeptical of relying on machines to perform tasks that humans are fully capable of. This begs the question: Will automation completely replace certain jobs?
The answer is: probably not. Though AI and automation will undoubtedly have a resounding impact on the tech industry — especially in the case of software development — current applications of the technologies still need human input. Think about it. The most interesting thing about application development is the idea of taking an esoteric concept and turning that into a usable application. AI and automation cannot replace this ideation and creativity.
Enter no-code. No-code uses automation processes to minimize the translation work required in traditional code development. In the process, it "humanizes" development, breaking down barriers to entry (i.e., advanced coding expertise) and allows people with all levels of expertise to become more effective developers.
No-code platforms are a great example of how AI and automation can empower rather than replace workers. Here are three key ways no-code makes the development process fundamentally more "human."
1. Visual Interfaces
By relying on visual interfaces and intuitive drag and drop tools, no-code platforms engage users in a more accessible way. Platforms like Unqork allow users to visually lay out applications and workflows as they should look and work.
Rather than having to translate ideas into code that a system can understand, ideas are immediately turned into apps that work the way they should intuitively, allowing users to focus on ideas over the syntax. No-code platforms also facilitate better human-to-human collaboration between IT and business teams by creating better cross-team visibility into project status and workflows.
2. Schema-Free Databases
Schema-free databases have many advantages that allow no-code to exist as a more natural form of development. Their key feature is that they make data collection more agile and flexible. By loosening data structures, analysts can interact more directly and logically with data.
Unlike MySQL, which creates columns and rows to respond to general inquiries, NoSQL relies on an Entity Relationship Diagram (ERD). An ERD lets you visualize different relationships between data entries that may not fit in structured tables. By doing so, NoSQL enables analysts to use large amounts of semi-structured and unstructured data by removing a predefined schema.
With a schema-free database, managers can add and extract data in a way that is natural to the user journey instead of needing to adhere to predetermined lines of query. This enables data manipulation in ways that are intuitive to the human brain and makes room for a more dynamic mode of data analysis.
3. Cloud-Based Infrastructure
Cloud services refer to the use of remote resources, including computation functions and storage, that are hosted across the internet. Switching to a cloud-based or partially cloud-based infrastructure allows applications to scale and grow with a business. But more importantly, cloud-based computing can also make space for human creativity.
With a cloud-based infrastructure, security and maintenance are exported to third-party cloud service providers. Instead of tinkering with physical infrastructure to ensure that different packages are running properly, cloud computing delivers pre-configured foundational IT services. By reducing the time spent on things like data security, cloud computing frees up time for teams to focus on the creative tasks to which humans are uniquely suited — ideation and innovation.
There is no denying that AI is a thriving industry, but we shouldn’t fear automation. The rise of no-code platforms like Unqork suggests that human creativity and AI are not mutually exclusive. If anything, the latter can enhance the efforts of the former. No-code can humanize data use, facilitate human-to-human relationships, and encourage innovation and creativity. With no-code, automation creates a synergistic work environment that makes software development more, not less, human.