Onboarding new developers is a considerable overhead as it requires senior developers to provide mentorship and documentation. Code tours—structured guides to key code sections—can streamline this process, yet their manual creation still requires valuable time. This research investigates how to automate the generation of debugging-focused code tours using locally-runnable Large Language Models (LLMs), which provide more confidentiality, stability and reproducibility than cloud-based models. We plan to address three key challenges: (1) selecting relevant code segments, (2) generating clear and context-aware explanations, and (3) automatically evaluating the quality of generated tours. Ultimately, our goal is to reduce the onboarding burden on senior developers by automatically generating persistent, verifiable documentation artefacts to help junior developers navigate and understand a codebase.