Past, Present and Future: Exploring Adaptive AI in Software Development Bots
It addresses the problem of improving productivity and collaboration in software development through adaptive AI, but it is incremental as it reviews existing systems and challenges without introducing new methods.
This paper examines adaptive AI-powered conversational agents in software development, highlighting their ability to provide dynamic, context-aware assistance to developers, with potential to revolutionize the field by enhancing efficiency and offering real-time support.
Conversational agents, such as chatbots and virtual assistants, have become essential in software development, boosting productivity, collaboration, and automating various tasks. This paper examines the role of adaptive AI-powered conversational agents in software development, highlighting their ability to offer dynamic, context-aware assistance to developers. Unlike traditional rule-based systems, adaptive AI agents use machine learning and natural language processing to learn from interactions and improve over time, providing more personalized and responsive help. We look at how these tools have evolved from simple query-based systems to advanced AI-driven solutions like GitHub Copilot and Microsoft Teams bots. We also explore the challenges of integrating adaptive AI into software development processes. The study aims to assess the benefits and limitations of these systems, address concerns like data privacy and ethical issues, and offer insights into their future use in the field. Ultimately, adaptive AI chatbots have great potential to revolutionize software development by delivering real-time, customized support and enhancing the efficiency of development cycles.