The past decade has seen unprecedented growth in Software Engineering— developers spend enormous time and effort to create new products. With such enormous growth comes the responsibility of producing and maintaining quality and robust software. In this talk, I will discuss how AI can help develop quality products in different stages of the software development life cycle. In particular, I will discuss how we can build AI models leveraging different static and dynamic code properties for source and binary code to automate diverse Software Engineering tasks, including code generation, bug finding, security analysis, etc.