.NET R&D Digest (December 2025) (olegkarasik.wordpress.com)

The latest issue of the .NET R&D Digest highlights key advancements and discussions in AI and software development as 2025 draws to a close. Notably, Christophe Nasarre illustrates how AI tools are integrating into development workflows by detailing his use of AI for coding a .pdb dumper, showcasing the potential for semi-autonomous AI to generate functional applications without human input. However, a study from Carnegie Mellon University reveals a troubling aspect of AI in programming: it suggests that AI-generated code might degrade project quality over time, underscoring the need for careful assessment of AI tools' long-term effects on software health. The Digest also addresses various aspects of performance optimization and development practices, including new insights into domain-driven design and architectural testing, which are essential for managing large projects. Articles on automating code signing, resolving overload ambiguity in C#, and the implications of using optimistic versus pessimistic checks in software performance offer practical tips for developers. This issue emphasizes an evolving dialogue within the AI/ML community about leveraging emerging tools while remaining vigilant about their implications on code quality and performance.