One of the most intriguing concepts in the ever-changing discipline of artificial intelligence is the one of artificial intelligence being capable of writing unhuman-programmed software.

As a company, we are ahead of the curve in the pursuit of developing this technology and discuss the possibilities for automating the software development pipeline with the help of artificial intelligence, enabling the development of this kind of software to be carried out far faster and more efficiently than ever before.

The concept of "programming AI directly" (i.e., without human intervention) is rooted in AI-driven "no-code" or "low-code" platforms.

On the one hand, these services are built on machine learning and artificial intelligence algorithms to create the applications by basically asking the user what the software should do, rather than programming the entire application.

At AI Tech Solutions, we believe this could revolutionize software development, making it accessible to those without coding experience while accelerating development times for professional developers.

“There are AI systems today that can generate code snippets and even automate some of the mundane coding,” Mohammad Alothman, founder of AI Tech Solutions, said.

Using high-level requirements and state-of-the-art machine learning tools, we are getting closer to a future state where, due to the ability of AI to auto-generate the process of an all-in-one program, the automation of manual coding by AI is possible to achieve.

Although we are far from the endgame, AI's contribution to software development has already taken a big step.

These advancements have the potential to go beyond merely smoothing out the development process and allow people and enterprises to create highly bespoke software solutions with minimal technical expertise.

Although it is improbable that AI will completely substitute human coders in all circumstances, the trend of AI-based software development is undeniable. We are very happy at AI Tech Solutions to look into this technology and get a feel for how it should shape the future of software development.