Integrating AI and Machine Learning in Software Development
Taye Iyinoluwa Adeyinka, Kehinde Iyioluwa Adeyinka · 2025
Software development techniques have changed due to the incorporation of artificial intelligence (AI) and machine learning (ML), which provide previously unheard-of levels of automation, optimisation, and creativity. T. Software developers can reduce human error, increase productivity, and improve decision-making by utilising predictive models and sophisticated algorithms. Advanced applications, including AI-driven debugging, generative AI for code synthesis, and predictive analytics for risk assessment, are also covered in this chapter. Issues including algorithmic biases, ethical concerns, and integration difficulties are discussed alongside workable solutions. The chapter ends with predictions for the future, highlighting how AI and ML can be used to build more intelligent, safe, and flexible software systems. Real-world case studies are incorporated to illustrate the observable advantages and useful applications of AI-ML in contemporary software development.