ENHANCING CI/CD AUTOMATION: AI-POWERED TOOLS FOR CONTINUOUS INTEGRATION AND DEPLOYMENT IN LARGE-SCALE SYSTEMS

Abstract

The provision of advanced software agility is associated with fast deliveries, increased productivity, and minimized potential deployment hazards. The increased agility has changed significantly due to AI-based solutions that improve automation in determining code quality, troubleshooting failures, and providing optimizations for simplified deployment. The paper argues that the systems face yet another challenge in balancing the security, scalability, and long-term maintainability of automation for large enterprises, especially within low-code/no-code application development platforms, due to their being able to retool solutions based on addressing users' needs, however gradually. Despite the optimality of AI-driven DevOps solutions, the management resilience and efficiency within CICD workflows still remain core business values. The paper particularly focuses on AI-powered tools that enforce security in enterprise systems at scale, scaling optimization, and maintainability in an LCNC environment. The proposed framework is aimed at optimizing enterprise software delivery through secure, scalable, and maintainable deployments in complex and large-scale environments.