Non-volatile memories (NMVs) are becoming increasingly more pervasive, as they are bound to replace hard disk drives in many applications, ranging from consumer electronics to cloud storage. Operational idiosyncrasies of NVMs prevent us from naively using conventional coding schemes. In this talk, we will overview some of recent results on coding-inspired methods for NVMs, including graded bit error correcting codes, WOM codes, constrained rank modulation, dynamic threshold schemes, and optimized graph-based codes. We will also discuss other promising future directions for development of coding (and non-coding)-based methods with applications to NVMs.