AI-Driven Developer Ecosystem

Prof Swathi Srikanth, Sindhu S, Varshini S R, Sai Charan M P and S S Subhash
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Prof Swathi Srikanth: Asst. Professor, Department of CSE-AIML, AMCEC, Bengaluru, Karnataka India
Sindhu S: Student, Department of CSE-AIML, AMCEC, Bengaluru, Karnataka India
Varshini S R: Student, Department of CSE-AIML, AMCEC, Bengaluru, Karnataka India
Sai Charan M P: Student, Department of CSE-AIML, AMCEC, Bengaluru, Karnataka India
S S Subhash: Student, Department of CSE-AIML, AMCEC, Bengaluru, Karnataka India

International Journal of Research and Scientific Innovation, 2025, vol. 12, issue 7, 276-283

Abstract: The advent of Large Language Models (LLMs), including tools like GitHub Copilot and OpenAI Codex, has brought substantial changes to the field of software engineering. These technologies support developers through features such as automated code generation, smart code suggestions, and productivity enhancements. Despite these advancements, the development workflow is still scattered across multiple standalone tools used for coding, testing, documentation, and team communication. This lack of integration disrupts the development flow and negatively impacts overall team efficiency.

Date: 2025
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