Let $V$ a finite dimensional vector space and let $e:=(e_1, \cdots e_n)$ one of its bases. Let $\tilde{e}$ another bases for $V$. The two bases are related to each other by a linear transformation. i.e. there is a $n \times n$ matrix $A$ such that
$$
\tilde{e}=Ae
$$
or $\tilde{e_i}=\sum_j A^j_i e_j$
Consider now the dual cobases of $V^*$ i.e. $e^*:=({e^*}^1, \cdots {e^*}^n)$ such that
$$
{e^*}^i(e_j)= \delta_j^i
$$
Let $B$ the matrix of the change of bases of the dual bases, we have
$$
\operatorname{Id}_n= \tilde{e^*}(\tilde{e})= B e^*(A e)=BA e^*(e)=BA \operatorname{Id}=BA
$$
so $B=A^{-1}$
A bases for the space of $(1,1)$ tensors is given by
$$
e_i \otimes {e^*}^j
$$
for $i,j \in \{1, \cdots n\}$. So it change bases as
$$
\tilde{e_i} \otimes \tilde{{e^*}^j}=\sum_k \sum_h A^k_i (A^{-1})^j_h e_k \otimes {e^*}^h
$$
while e.g a $(2,0)$ tensor change bases as
$$
\tilde{e_i} \otimes \tilde{e_j}=\sum_k \sum_h A^k_i A^h_i e_k \otimes e_h
$$
This is quite used in physics