Best-Practices

Open-source libraries may power critical systems where failures have severe consequences. AI tools now eliminate the excuse of insufficient testing time, but engineers must own the final quality decision.

Integrating Large Language Models (LLMs) into production systems presents unique architectural, testing, and operational challenges. This article shares practical insights and solutions from real-world experience integrating LLMs into a customer interaction platform. It covers the evolution from a monolithic to a more modular AI Proxy architecture pattern, strategies for testing, deploying and monitoring LLMs, and the emerging Model Context Protocol (MCP) standard. Application developers and software architects will learn proven practices to build robust, reliable and responsible LLM-powered systems.

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.