title: "Pourquoi la pile IA pour les équipes d'ingénierie modernes exige à la fois du code et du contexte"

Modern AI tools for software engineering must integrate both code generation and contextual understanding to be truly effective. These tools operate on a "work-doing layer" that writes code and a "work-understanding layer" that comprehends project requirements from sources like Jira and documentation. Unifying these two layers is critical, as AI assistants that only see the codebase lack the necessary context to generate truly useful solutions. By leveraging Retrieval-Augmented Generation (RAG), a complete AI stack can provide this full context, enabling faster development, more efficient incident response, and quicker onboarding for new engineers.