Practical articles on Java, microservices, system design, AI engineering, and the future of software development. No fluff — only production-tested insights.
In the evolving landscape of AI, choosing between Retrieval-Augmented Generation (RAG) and fine-tuning for production-level Large Language Models (LLMs) is crucial. This post explores their differences, real-world applications, and best practices for implementation in 2025–2026.
AI-augmented development is transforming how software engineers build and maintain systems. With tools like Copilot and Claude, developers can enhance productivity and innovation. This post explores the current landscape, real-world applications, and future trends in AI-driven development.
As AI agents become increasingly sophisticated, the debate intensifies: will they replace software engineers or augment their capabilities? This post explores the current landscape, real-world applications, and future implications for developers in 2025–2026.