Leveraging Generative AI for Automated Code Generation and Security Compliance in Cloud-Based DevOps Pipelines: A Review
Keywords:
Generative AI, Automated Code Generation, Security Compliance, DevOps, Cloud Computing, Machine Learning, AI-Driven Software Development, Cybersecurity, Performance Metrics, AI-Powered DevOpsAbstract
Generative Artificial Intelligence (AI) integration into cloud based DevOps pipelines changes the way of software development and software security compliance are being maintained.Manual coding, debugging, monitoring for compliance is a traditional process of software engineering that is a time consuming one and error prone. AI driven automation has grown to become an answer to improve efficiency, accuracy in the code, and achieve compliance in all regulatory fronts without much human intervention.
References
J. Smith, "AI in Software Development: A Comprehensive Review," IEEE Transactions on Software Engineering, vol. 48, no. 3, pp. 123-135, 2022.
A. Brown and M. White, "Enhancing DevOps with AI: Trends and Challenges," ACM Computing Surveys, vol. 55, no. 7, pp. 1-25, 2022.
R. Kumar, "Security in AI-Based DevOps Pipelines," Journal of Cloud Computing, vol. 10, no. 4, pp. 45-67, 2021.
