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Keeping Your Software Healthy: The Critical Role of Dependency Updates

Discover best practices for effective dependency management in software development and learn strategies to keep your projects secure, efficient, and free of technical debt. This comprehensive guide covers the critical importance of regularly updating dependencies, utilizing automated tools and processes to streamline dependency management, fostering a culture of proactive updates through incentives and education, and implementing organization-wide dependency management strategies at scale. Whether you’re an application developer, software architect, or engineering manager, this article provides actionable insights to help you master dependency updates and ensure your software stays healthy and high-performing.

How Does New Oracle JVM Licensing Encourage Agility

Oracle’s revised JDK policy requires companies to update Java every 6 months to maintain free security patches, since only short-term OpenJDK builds remain free for production use. This pushes organizations to automate testing and embrace more frequent deployments, as manual testing of bi-annual updates would be too costly. The article suggests this change naturally leads companies toward shorter release cycles and faster market adaptation.

Common Java Application Anti-patterns and Their Solutions

Software projects often run into trouble when developers mix different code layers together. The article explains how this leads to rigid, brittle code that’s hard to update and reuse. Software architecture problems are examined through biological cell analogies. A practical guide follows for improving existing systems without full rewrites, focusing on testing, API design, and gradual changes.

Maximizing Efficiency with UI-First Development: A Client-Centric Approach to Project Success

One of the challenges for start-ups or any new project is to reduce the amount of work while still delivering a full-featured product. Agile methodologies address this challenge on the project management level. Let’s discuss another approach to address it on the architecture level: UI-first development.