Is AI Better Than Low Code/No Code? Yes.
In the realm of software development, the debate between AI-generated code and low-code/no-code solutions is a fascinating one. From my perspective, AI-generated code holds a distinct edge.
The process of training an AI to generate code is a meticulous one. For me, it begins with the establishment of canonical entities, the fundamental building blocks that define the structure of our software. This is akin to a painter preparing their canvas, ensuring the groundwork is laid for the masterpiece.
Next, the AI is trained on the specific style of code that I prefer. This involves teaching it our preferred frameworks, like a master craftsman passing their techniques to an apprentice. The AI learns the syntax, nuances, and business domains that make our code unique.
A crucial part of this training involves imparting knowledge of the business domain. This is where the AI learns the context in which its code will operate, the problems it will solve, and the users it will serve. It's akin to a writer immersing themselves in the world of their story, understanding the characters, their motivations, and the plot.
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Once the AI is sufficiently trained, it's time to put it to the test. We present it with a well-formed user story, a narrative that describes a specific functionality from the user's perspective. With its training and understanding of the business domain, the AI translates this story into code.
The result? Code that is better, faster, and stronger. It's a process that mirrors the relentless drive for improvement encapsulated in Daft Punk's iconic song. It's about pushing the boundaries of what's possible, leveraging the power of AI to create code that is not just functional but also efficient and elegant.
While low-code/no-code solutions have their place, AI-generated code offers customization and efficiency that is hard to match. It's a testament to the power of technology and a glimpse into the future of software development.
(I'd like to point out that my work has been specific to ChatGPT, GPT-3.5 APIs, and tools like Genie.)