The Role of Artificial Intelligence in Automating and Optimizing Programming Processes

The fast evolution of artificial intelligence (AI) has greatly impacted software development through the automation and optimization of programming practices. This study explores the contribution of AI in improving code generation, debugging, optimization, and maintenance using machine learning (ML), natural language processing (NLP), and predictive analytics. The goal is to identify the extent to which AI minimizes human effort, improves efficiency, and transforms the software development process. Results show that AI-driven tools, such as GitHub Copilot and test automation tools, significantly boost productivity and precision while enabling non-programmers to participate in development. Concerns like bias in training data and explainability remain. In all, AI adds tremendous value to programming with its future promise tied in ever-deeper human-AI collaboration and explainable AI innovations. This study provides directions to practitioners and researchers who aim to leverage AI in software development.

کلیدواژه ها:

artificial intelligence ، programming automation ، code optimization ، machine learning ، natural language processing ، software development ، debugging ، predictive analytics