Software runs the world and should provide equal rights and opportunities to all genders. However, the gender gap exists in the software engineering workforce and many software products are still gender biased. Recently, AI systems, including modern large language models are shown to be related to gender bias issues. Many efforts have been devoted to understanding the problem and investigating solutions. The tutorial aims to present a set of scientific studies based on qualitative and quantitative research methods. The authors have a long record of research leadership in interdisciplinary projects with a focus on gender and software engineering. The issues with team diversity in software development and AI engineering will be presented to highlight the importance of fostering inclusive and diverse software development teams.