The field of coding theory and error correction is moving towards the development of more efficient and robust methods for transmitting and storing data. Researchers are exploring new approaches to constructing optimal linear codes, such as those that achieve the Griesmer bound, and investigating the properties of these codes in various channels and scenarios. Additionally, there is a growing interest in the study of splitter sets and their applications in coding theory. The use of iterative methods and bounds, such as the linear programming bound, is becoming increasingly popular in the analysis of error-correcting codes. Furthermore, the development of new algorithms and techniques, such as fractional programming and tolerant testing, is enabling the construction of more efficient and effective codes. Noteworthy papers include: On the Error Exponent Distribution of Code Ensembles over Classical-Quantum Channels, which derives a threshold for the error exponent distribution of code ensembles over classical-quantum channels. On Construction of Approximate Real Mutually Unbiased Bases, which presents a method for constructing approximate real mutually unbiased bases for certain dimensions.