Published Paper Details:

The rapid advancement of Artificial Intelligence (AI) has significantly influenced modern software development practices. AI-based development tools such as code completion assistants, automated testing tools, and static code analysis systems are increasingly adopted to enhance software quality and developer productivity. This study evaluates the impact of AI-based development tools on software engineering outcomes, with a specific focus on code quality, development speed, error reduction, and developer efficiency. The research adopts a survey-based methodology involving software developers and computer science students who actively use AI-assisted development tools. Primary data was collected using a structured Google Form questionnaire, and secondary data was gathered from existing research literature. The findings suggest that AI-based tools positively influence developer productivity by reducing coding time, improving code accuracy, and assisting in debugging. Additionally, respondents reported improvements in software quality through early defect detection and code optimization. The study concludes that AI-based development tools play a significant role in modern software engineering practices and are likely to become integral components of future software development environments.