The TransformerLens library lacks the rigorous type hinting necessary for high-stakes AI safety research. Precise types allow developers to automatically verify data shapes and invariants in complex models. This technical debt increases bug risks during interpretability work. Practitioners should adopt stricter typing to ensure maintainable code when auditing powerful, opaque systems.