Artificial Intelligence is transforming the software development industry by increasing productivity, improving code quality, and enhancing collaboration between development groups. Artificial Intelligence (AI) is gradually making its way into the software development cycle across tools such as GitHub Copilot and Tab Nine that make it easier to get code written for example by auto-generating functions, auto-identifying code errors, and suggesting snippets of code for the developer to implement. Software developers are still able to produce stronger, better code because of heightened speed and reduced human-induced errors. AI-assisted code review programs will help emphasize best coding practices and document uniformity while improving the quality of the project by identifying security issues. Developers will increasingly be able to focus on difficult problems as AI helps complete the mundane tasks in a coding project and offers increased productivity. AI is changing the landscape for managing software development teams. AI-enabled project management systems evaluate historical project data to forecast difficulties in a project or task, as well as promote the best allocation of resources and scheduling of tasks. As predictive features allow teams to anticipate challenges and take action to keep projects on schedule and on budget, the automation of administrator duties whenever possible, particularly with AI-driven insights in real-time, augments teams’ decision-making abilities while enabling managers to balance resource allocation and process efficiencies. Development teams are furthering their collaborative efforts through the implementation of AI technologies. The test-case generation and refinement of user stories by AI tools both automate and support Behaviour-Driven Development (BDD) and Test-Driven Development (TDD) in the software testing processes.