© STM Journals 2024. All Rights Reserved 15 ISSN: 2394-7292 Volume 11, Issue 1, 2024 DOI (Journal): 10.37591/JoSETTT STM JOURNALS Journal of Software Engineering Tools & Technology Trends http://computers.stmjournals.com/index.php?journal=JoSETTT&page=inde x Review JoSETTT Impact of AI Tools in Software Engineering: Boon or a Bane Bijee Lakshman 1, *, Abhinav.S. 2 Abstract Artificial Intelligence (AI) has become a transformative force, revolutionizing diverse sectors by integrating intelligent systems into everyday processes. Natural Language Processing (NLP) plays a crucial role, enabling machines to understand and produce human language, marking a significant advancement in technology. This innovation has various applications, including chatbots, language translation, and sentiment analysis, thereby improving interactions between humans and computers and facilitating information processing. Generative AI, a subset of AI, takes innovation to new heights by enabling machines to autonomously create content. This advancement is particularly evident in language models that exhibit context-aware content generation, revolutionizing creativity in various fields such as writing and art. The synergy between NLP and generative AI has paved the way for unprecedented advancements, showcasing the potential for machines to understand and generate contextually relevant content. In the realm of AI tools, a critical player is Codeium, an open-source code editor. Designed with software developers in mind, Codeium incorporates AI-powered functionalities such as smart code suggestions and syntax highlighting. This paper describes how Codeium significantly enhances the efficiency of developers, facilitating smoother code writing, editing, and debugging processes. A comparative analysis with few other AI tools is made highlighting few demos of prompt engineering in Codeium As the collective impact of AI, NLP, generative AI, and advanced tools like Codeium continues to unfold, these technologies not only redefine the boundaries of what is achievable but also underscore their pervasive influence across industries. From language understanding to innovative content creation and streamlined software development, the multifaceted applications of these technologies underscore their significance in shaping the future of artificial intelligence . Keywords: Artificial intelligence (AI), natural language processing (NLP), generative AI (Gen AI), codeium, prompt engineering INTRODUCTION The field of software development is experiencing substantial changes due to the revolutionary impact of artificial intelligence (AI) across different domains of our professional endeavours. Among the various domains experiencing substantial productivity enhancements, code writing stands out prominently. The integration of AI in the form of code assistants has emerged as a game-changer, facilitating developers in crafting code with increased efficiency and safety. This article aims to delve into the realm of AI coding assistants, highlighting the most commendable options available and assisting you in selecting the most suitable one tailored to your specific needs. *Author for Correspondence Bijee Lakshman E-mail: bijee@wcc.edu.in 1 Student, Department of Data Science, Women’s Christian College, Chennai, Tamil Nadu, India 2 Student, Computer Science and Business Systems, S.R.M Institute of Science and Technology, Kattankulathur, Tamil Nadu, India Received Date: February 26, 2024 Accepted Date: April 21, 2024 Published Date: Citation: Bijee Lakshman, Abhinav S. Impact of AI Tools in Software Engineering – Boon or a Bane. Journal of Software Engineering Tools & Technology Trends. 2024; 11(1): 15–25p. Commented [s1]: <Author> Please Provide Published Date