RAG for Coding and Security
Retrieval-Augmented Generation (RAG) is increasingly becoming a practical pattern for building smarter, safer, and more reliable developer tools. By combining large language models (LLMs) with trusted external knowledge sources, RAG enables applications to generate context-aware responses grounded in real, up-to-date information. In the domains of application security and software development, this approach unlocks powerful use […]
