AI-AUGMENTED NO-CODE AND ZERO-CODE DATA ENGINEERING FOR FULLY AUTONOMOUS SOFTWARE CREATION

The aggressive pace of artificial intelligence (AI) development has created software development innovation,especially in AI-aided no-code and zero-code data engineering. With this revolutionary technology, softwareis created entirely automatically by a convergence of natural language processing (NLP), autonomous datapipeline construction, and machine learning-based, self-trained AI models. With the elimination of therequirement for sophisticated coding knowledge, these technologies democratize software developmentamong non-expert users. AI-based automation speeds up data engineering tasks, improve efficiency, and cutdown human intervention. This change brings about inclusivity with organizations being able to makedevelopment processes precise with fewer resource constraints. Further, AI-based systems improve andupdate themselves on a continuous basis with aspects of self-learning, thereby making them scalable andflexible. Therefore, AI-based no-code and zero-code platforms revolutionize software engineering byautomated sophisticated processes, enhancing decision-making, and enabling fast innovation. This articlespeaks of the future prospect, advantages, and disadvantages of no-code AI-based solutions in dataengineering, highlighting their capability to transform the digital landscape.