Abstract—The field of software engineering is experiencing revolutionary changes with integration of artificial intelligence (AI) technologies. This paper explores the transformative potential AI brings to various phases of software development lifecycle. We provide overview of key applications of AI in software engineering domains like coding, testing and maintenance. AI can assist in automating many tasks like code generation, intelligent code assistants, test case creation and defect prediction. This not only enhances efficiency but also improves overall quality. However, there are significant challenges regarding data quality, explainability of AI models and integration with existing processes that need to be addressed. The paper discusses opportunities for future where AI can enable more intelligent software design, smarter testing approaches and proactive code maintenance. We envision AI becoming an integral part of software engineering, with intelligent AI assistants collaborating with human developers. While tremendously beneficial, incorporating AI raises concerns around interpretability, trust and technical debt that this paper explores. We emphasize the need for continued research to develop robust, explainable and scalable AI solutions tailored for software engineering contexts. Ultimately, synergistic collaboration between AI and humans holds the key to truly revolutionizing software development practices. Keywords: Artificial Intelligence in Software Engineering, Automated Code Generation, AI-Driven Software Testing, Intelligent Code Assistants, AI-Enabled Software Maintenance