Just my two cents, but I think it's worth sharing: In the agentic era, unless a language truly outshines any other in its field (like Python does with Data Science), we should prioritize strongly and statically typed languages.
While C# is a solid choice due to its massive market share and smooth learning curve, Rust is the real champion for me. Its compiler is far less prone to runtime errors than C#, providing a level of reliability that is crucial when you are integrating AI into your workflow.
Furthermore, we need to adapt how we document our projects:
AGENTS.md: A must-have to guide AI agents through your codebase.
VitePress: Excellent for creating fast, searchable, and structured documentation that both humans and LLMs can easily consume.
That said, never stop mastering the language itself. Don't over-rely on the agent—it’s meant to be your assistant, but you are the one in the driver's seat.
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Just my two cents, but I think it's worth sharing: In the agentic era, unless a language truly outshines any other in its field (like Python does with Data Science), we should prioritize strongly and statically typed languages.
While C# is a solid choice due to its massive market share and smooth learning curve, Rust is the real champion for me. Its compiler is far less prone to runtime errors than C#, providing a level of reliability that is crucial when you are integrating AI into your workflow.
Furthermore, we need to adapt how we document our projects:
That said, never stop mastering the language itself. Don't over-rely on the agent—it’s meant to be your assistant, but you are the one in the driver's seat.