This whitepaper explores how Tabnine tailors its AI code assistant to align with an organizations personal codebase, libraries, and best practices. Tabnine accomplishes this with layers of personalization, including context awareness, integration with organizational resources and customizable coaching preferences. For teams with high specific coding processes, it supports fine-tuning to create models that encourage code predictions, ensuring more relevant and accurate assistance across each lifecycle stage.