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  Authors

Shubham Sunil Shinde,Pavan Bhagwanrao Ghode,Suraj Vasant Sabale,Ashutosh suresh Varma

  Keywords

Artificial Intelligence, Software Engineering, Developer Productivity, Software Quality, AI-Based Tools

  Abstract


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.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2601379

  Paper ID - 300437

  Author type - Indian Author

  Page Number(s) - d94-d98

  Pubished in - Volume 14 | Issue 1 | January 2026

  DOI (Digital Object Identifier) -   

  No Of Downloads - 6

  Author Country - India, 411014, Pune, Pune, 411014, Science and Technology

  Publisher Name - IJPUBLICATION | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Published Paper PDF : - http://www.ijcrt.org/papers/IJCRT2601379

  Published Paper URL: : - http://ijcrt.org/viewfull.php?&p_id=IJCRT2601379

  Published Paper PDF Downlaod: - download.php?file=IJCRT2601379

  Cite this article

Shubham Sunil Shinde,Pavan Bhagwanrao Ghode,Suraj Vasant Sabale,Ashutosh suresh Varma,   "EVALUATING THE IMPACT OF AI TOOLS ON SOFTWARE QUALITY AND DEVELOPER PRODUCTIVITY: A SOFTWARE ENGINEERING STUDY", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.14, Issue 1, pp.d94-d98, January 2026, Available at :http://www.ijcrt.org/papers/IJCRT2601379.pdf

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The International Journal of Creative Research Thoughts (IJCRT) aims to explore advances in research pertaining to applied, theoretical and experimental Technological studies. The goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working in and around the world.

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International Journal of Creative Research Thoughts (IJCRT)
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