<ul data-eligibleForWebStory="false"><li>The emergence of artificial intelligence tools like GitHub Copilot, Amazon CodeWhisperer, and OpenAI’s ChatGPT has reshaped software development paradigms by automating tasks like code generation, test case formulation, debugging, and deployment operations.</li><li>AI integration optimizes various software development lifecycle stages, reducing manual coding, testing cycles, and debugging workloads, thus accelerating software delivery cycles and enhancing organizational agility and competitiveness.</li><li>AI-assisted development benefits range from individual developers quickly prototyping applications to large-scale enterprise projects reporting increased productivity and accelerated development velocities, establishing AI as an essential competitive advantage.</li><li>Although AI-driven development democratizes software creation and fosters innovation, it introduces specific risks and challenges that necessitate careful management and mitigation strategies to harmonize productivity gains with quality control and human oversight.</li></ul>

From Traditional Application Development to AI-Powered Solutions: Challenges and Opportunities

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