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@article{191928,
        author = {Sravana Kumar Reddy Yeruva},
        title = {Natural Language Development in Oracle APEX with AI Assistant},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {8},
        pages = {8875-8881},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=191928},
        abstract = {The fusion of Natural Language Processing (NLP) and Artificial Intelligence (AI) with low-code platforms has catalyzed a new era of software development—one that is more accessible, efficient, and intuitive. Oracle Application Express (APEX), a robust low-code platform, is actively integrating AI assistants to allow users to develop applications using natural language inputs. This review systematically explores the evolution, architecture, performance benchmarks, and theoretical models of natural language-driven development in Oracle APEX. Through analysis of existing tools, empirical evaluations, and real-world case studies, the review highlights both the transformative potential and current limitations of AI assistants in APEX. It further outlines future research directions to enhance accuracy, inclusivity, transparency, and domain-specific intelligence in AI-supported low-code development.},
        keywords = {Natural Language Processing; Oracle APEX; AI Assistant; Low-Code Development; Conversational Programming; Code Generation; NLPg; GPT; LLM; User Experience; Software Automation},
        month = {January},
        }