The TransformerLens library lacks the rigorous type hinting necessary for high-stakes AI safety research. Precise types prevent bugs by automatically verifying data shapes and invariants. While the safety community values formal methods, current tooling often ignores these basics. Adopting stricter type hints will reduce errors for researchers auditing complex model internals.