Tell about your journey in Java development over the last 3-5 years. What kind of projects, architecture, stack, teams? Mention the evolution with AI application.

Over the past 3-5 years, my journey in Java development has included working on projects across various domains: from financial services to e-commerce platforms. The architecture of projects has evolved from monolithic applications to microservices using Spring Boot and Spring Cloud. The technology stack actively employed Docker, Kubernetes for orchestration, as well as PostgreSQL and MongoDB databases.

Teams were cross-functional, ranging from 5 to 15 people, with Agile and CI/CD practices. In recent years, I started integrating AI tools into the development process: using models for auto-generating code, automatic refactoring, and code quality analysis. I also applied ML models for load prediction and performance optimization of services.

This has enabled increased development speed and product quality, as well as improved testing and monitoring processes.