csharp-optimization

Reduce GC pressure in C# hot paths by reusing thread-static buffers, applying stackalloc, and using MemoryMarshal to minimize allocations. This Skill guides measurement-driven refactors for per-packet handling and per-tick calculations to lower allocation frequency and latency.

Optimize C# packet handling for latency by profiling bottlenecks in per-packet methods like HandlePacket, then applying allocation reduction patterns. This Skill proposes safe, testable refactors that preserve behavior while lowering latency in protocol handlers.

Stackalloc helps with C# allocation reduction by allocating memory on the stack instead of the heap, avoiding GC pressure. This Skill applies stackalloc alongside thread-static buffers and MemoryMarshal to optimize MCC hot paths like chunk decoding and data type reading.

Profiling data is required before optimizing C# hot paths to justify any changes. This Skill mandates measurement-driven techniques to identify bottlenecks accurately, ensuring refactors target actual latency and allocation issues rather than speculative assumptions.

You can use MemoryMarshal to optimize chunk decoding in C# by accessing memory regions directly without allocations. This Skill targets chunk decoding and data reading hot paths, applying framework-appropriate techniques to achieve measurable throughput improvements.

C# optimization refactors must preserve behavior to ensure safe, testable changes that do not break existing functionality. This Skill requires language- and framework-appropriate techniques guided by profiling data, maintaining correctness while reducing allocations and latency.