The game-changing development of Large Language Models (LLMs) necessitates an urgent redesign of current continuous assessments in postgraduate bioinformatics teaching. To address these challenges, we here propose to develop both LLM-resilient and LLM-integrated coding-based assessments, which will promote academic integrity conceptual understanding and AI adaptation aligned with real-world bioinformatics workflows.