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---
name: csharp-dotnet-cli-optimization
description: >-
Use when diagnosing or optimizing generic C#/.NET performance, GC pressure,
allocations, heap or stack usage, LINQ overhead, boxing, Span/Memory,
stackalloc, pooling, or hot-path code with CLI-first tools such as
dotnet-counters, dotnet-trace, dotnet-stack, dotnet-gcdump, dotnet-dump, or
BenchmarkDotNet.
metadata:
category: technique
triggers:
- dotnet-counters
- dotnet-trace
- dotnet-dump
- dotnet-gcdump
- dotnet-stack
- benchmarkdotnet
- allocations
- gc pressure
- memory leak
- hot path
- linq
- stackalloc
- span
- memory
- boxing
- heap
- stack
- latency
- throughput
- slow
- hang
- deadlock
version: 0.2.0
---
# C#/.NET CLI Optimization
CLI-first guidance for generic C# 14 / .NET 10 performance work.
Use the references on demand:
- Read [references/memory-model-gc.md](references/memory-model-gc.md) for stack vs heap, generations, LOH, pinning, server vs workstation GC, and GC tuning limits.
- Read [references/code-patterns.md](references/code-patterns.md) for LINQ, Span/Memory, stackalloc, structs, boxing, pooling, strings, and analyzer-backed code patterns.
- Read [references/README.md](references/README.md) for dated sources and freshness notes.
## When to Use
- A .NET process is slow, allocation-heavy, CPU-heavy, or memory-hungry
- A live process appears stuck, hung, or deadlocked
- The user asks how heap, stack, GC, boxing, or LINQ overhead actually works in .NET
- The user wants concrete bad vs good code patterns after measurement has identified a hot path
- The task needs a decision between counters, traces, stacks, GC dumps, dumps, or a benchmark
**NOT for:**
- ASP.NET Core, EF Core, MAUI, Orleans, Unity, Avalonia, WPF, WinForms, Blazor, or other framework-specific playbooks
- Visual Studio, Rider, VS Code, PerfView, speedscope, or any GUI-first workflow
- speculative rewrites such as "replace everything with Span" before measurement
## Iron Rule
ALWAYS measure first, change second, and re-measure third.
NEVER claim an optimization without before/after evidence from the same scenario.
| Rationalization | Reality |
|---|---|
| "This is obviously slow" | The runtime, JIT, and libraries often invalidate intuition. |
| "struct means stack" | Value types are stored inline. They are not "always on the stack". |
| "All LINQ is slow" | .NET 10 improved many LINQ paths. Measure before rewriting. |
| "GC.Collect will fix it" | Forced collection usually treats symptoms, not cause. |
## Investigation Order
1. Use `dotnet-counters` for live triage.
2. If the process is stuck, capture `dotnet-stack` immediately.
3. If CPU or allocation hot paths matter, collect `dotnet-trace`.
4. If heap growth matters more than call paths, collect `dotnet-gcdump`.
5. If you need SOS heap inspection or a postmortem, collect `dotnet-dump`.
6. Only after live evidence points to a candidate routine, apply patterns from the reference docs.
7. If the change is truly local and isolated, use BenchmarkDotNet to compare implementations.
8. Re-run the original live capture to prove the real workload improved.
## Which Reference to Load
| User question | Read first |
|---|---|
| "How do stack and heap really work in .NET?" | `references/memory-model-gc.md` |
| "Why is GC pausing or why is LOH churn hurting us?" | `references/memory-model-gc.md` |
| "How should I optimize this LINQ?" | `references/code-patterns.md` |
| "Can I move this to the stack with stackalloc or Span?" | `references/code-patterns.md` |
| "Should this be a struct, ref struct, readonly struct, or class?" | `references/code-patterns.md` and `references/memory-model-gc.md` |
| "Why is this boxing?" | `references/code-patterns.md` |
## Tool Selection
| Question | Tool | What it answers | Typical next step |
|---|---|---|---|
| Is the live process allocating, GCing, or saturating CPU? | `dotnet-counters` | Live counters and trend direction | Capture a trace or GC dump if suspicious |
| Is the process hung or deadlocked right now? | `dotnet-stack` | Current managed stack snapshot | Collect a dump if you need deeper postmortem evidence |
| Which call paths consume CPU or allocate heavily? | `dotnet-trace` | Sampled execution and runtime events | Confirm hot paths, then isolate code |
| Which object types dominate managed heap usage? | `dotnet-gcdump` | Heap composition and type totals | Decide whether to redesign lifetimes or collect a full dump |
| Do I need SOS heap inspection or thread state? | `dotnet-dump` | Full dump plus CLI analysis | Run `analyze -c` commands |
| Did a code change improve one isolated routine? | BenchmarkDotNet | Reproducible microbenchmark comparison | Re-run live diagnostics in the real scenario |
## Pattern Guardrails
- Do not answer "put it on the stack" as a blanket goal. Explain lifetime, copies, boxing, and escape rules instead.
- Do not suggest `stackalloc` for unbounded sizes, large buffers, or loop-carried allocations.
- Do not recommend `Span<T>` for data that must cross `await`, escape to the heap, or live in object fields. Switch to `Memory<T>` or `ReadOnlyMemory<T>` for that.
- Do not recommend converting every `class` to a `struct`. Large, mutable, identity-bearing, or frequently boxed types often get worse.
- Do not blanket-rewrite LINQ to loops. Use analyzer-backed fixes first, and remember .NET 10 substantially improved many LINQ paths.
- Do not recommend pooling without ownership rules. Returned pooled arrays must not be reused by the caller.
- Do not recommend `GC.Collect()` except for rare, justified lifecycle boundaries, and only with measurement.
## Analyzer Radar
When performance diagnostics point to code patterns rather than runtime configuration, consult the current performance analyzers, especially:
- `CA1826`, `CA1827`, `CA1829`, `CA1836`, `CA1851`, `CA1860` for LINQ and enumeration
- `CA1845`, `CA1846`, `CA1858` for string and span-friendly APIs
- `CA1834`, `CA1865-CA1867` for `StringBuilder` char overloads
- `CA1870` for cached `SearchValues<T>`
These rules are clues, not goals. Apply them where the measured hot path justifies it.
## Minimal Commands
```bash
dnx dotnet-counters monitor --process-id <PID>
dotnet-counters monitor -p <PID> --counters System.Runtime
dotnet-stack report -p <PID>
dotnet-trace collect -p <PID> --duration 00:00:30
dotnet-trace report <trace.nettrace> topN
dotnet-gcdump collect -p <PID>
dotnet-gcdump report <file.gcdump>
dotnet-dump collect -p <PID> --type Heap
dotnet-dump analyze <dump> -c "dumpheap -stat" -c "exit"
```
Minimal BenchmarkDotNet pattern:
```csharp
using BenchmarkDotNet.Attributes;
[MemoryDiagnoser]
public class CandidateBench
{
[Benchmark(Baseline = true)]
public int Original() => OriginalImpl();
[Benchmark]
public int Candidate() => CandidateImpl();
}
```
```bash
dotnet run -c Release
```
## Output
When using this skill, report:
- the measured symptom and the evidence used to identify it
- the chosen tool or code pattern and why it fits this bottleneck
- the relevant tradeoff, such as allocation vs copy cost, deferred vs eager execution, or stack vs pool
- the before/after result, or say explicitly if the recommendation is still unverified

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---
description: Dated source ledger for csharp-dotnet-cli-optimization.
metadata:
tags: [sources, diagnostics, gc, linq, span, stackalloc, boxing]
---
# Sources
## Current primary sources
- [dotnet-counters](https://learn.microsoft.com/en-us/dotnet/core/diagnostics/dotnet-counters), Microsoft Learn, updated `2025-10-02`
- Canonical CLI docs for live counters, `monitor`, `collect`, and `dnx` one-shot execution on .NET 10.0.100+.
- [dotnet-trace](https://learn.microsoft.com/en-us/dotnet/core/diagnostics/dotnet-trace), Microsoft Learn, updated `2026-03-20`
- Canonical CLI docs for `collect`, `report`, and the preview `collect-linux` path plus its limits.
- [dotnet-dump](https://learn.microsoft.com/en-us/dotnet/core/diagnostics/dotnet-dump), Microsoft Learn, updated `2026-03-04`
- Canonical CLI docs for dump collection, dump types, and `analyze -c`.
- [dotnet-gcdump](https://learn.microsoft.com/en-us/dotnet/core/diagnostics/dotnet-gcdump), Microsoft Learn, updated `2025-12-17`
- Canonical CLI docs for GC dump collection, `report`, and the induced full Gen 2 GC caveat.
- [Fundamentals of garbage collection](https://learn.microsoft.com/en-us/dotnet/standard/garbage-collection/fundamentals), Microsoft Learn, updated `2025-10-22`
- Current official overview of generations, allocation, and managed heap behavior.
- [Runtime configuration options for garbage collection](https://learn.microsoft.com/en-us/dotnet/core/runtime-config/garbage-collector), Microsoft Learn, updated `2025-11-22`
- Current official source for server vs workstation GC, background GC, heap limits, LOH threshold, and modern GC configuration behavior.
- [stackalloc expression](https://learn.microsoft.com/en-us/dotnet/csharp/language-reference/operators/stackalloc), Microsoft Learn, updated `2026-01-24`
- Current official guidance for stack allocation limits, loop avoidance, initialization, and Span-based usage.
- [ref struct types](https://learn.microsoft.com/en-us/dotnet/csharp/language-reference/builtin-types/ref-struct), Microsoft Learn, updated `2026-01-20`
- Current official guidance for stack-only semantics and escape restrictions.
- [Structure types](https://learn.microsoft.com/en-us/dotnet/csharp/language-reference/builtin-types/struct), Microsoft Learn, updated `2026-01-14`
- Current official source for readonly structs, pass-by-reference guidance, and boxing conversions.
- [Value types](https://learn.microsoft.com/en-us/dotnet/csharp/language-reference/builtin-types/value-types), Microsoft Learn, updated `2026-01-20`
- Current official source for copy semantics and inline storage behavior.
- [Boxing and Unboxing](https://learn.microsoft.com/en-us/dotnet/csharp/programming-guide/types/boxing-and-unboxing), Microsoft Learn, updated `2025-10-13`
- Current official source for boxing semantics and cost.
- [Memory<T> and Span<T> usage guidelines](https://learn.microsoft.com/en-us/dotnet/standard/memory-and-spans/memory-t-usage-guidelines), Microsoft Learn, updated `2025-04-11`
- Current official guidance for choosing `Span<T>` vs `Memory<T>` and ownership rules.
- [Lambda expressions](https://learn.microsoft.com/en-us/dotnet/csharp/language-reference/operators/lambda-expressions), Microsoft Learn, updated `2026-01-24`
- Current official source for capture semantics and `static` lambdas.
- [What's new in C# 14](https://learn.microsoft.com/en-us/dotnet/csharp/whats-new/csharp-14), Microsoft Learn, updated `2025-11-19`
- Current official confirmation of first-class span conversions in C# 14.
- [Performance rules](https://learn.microsoft.com/en-us/dotnet/fundamentals/code-analysis/quality-rules/performance-warnings), Microsoft Learn, updated `2025-10-29`
- Current official index of analyzer-backed performance rules, including `CA1870`.
- [Performance Improvements in .NET 10](https://devblogs.microsoft.com/dotnet/performance-improvements-in-net-10/), Stephen Toub, published `2025-09-10`
- High-trust expert source showing real .NET 10 runtime and LINQ improvements. Use it to avoid stale folklore such as "all LINQ is slow".
## Specific analyzer pages used for code-pattern guidance
- [CA1827](https://learn.microsoft.com/en-us/dotnet/fundamentals/code-analysis/quality-rules/ca1827), updated `2023-11-14`
- [CA1845](https://learn.microsoft.com/en-us/dotnet/fundamentals/code-analysis/quality-rules/ca1845), updated `2024-11-12`
- [CA1846](https://learn.microsoft.com/en-us/dotnet/fundamentals/code-analysis/quality-rules/ca1846), updated `2023-12-16`
- [CA1851](https://learn.microsoft.com/en-us/dotnet/fundamentals/code-analysis/quality-rules/ca1851), updated `2023-11-14`
- [CA1858](https://learn.microsoft.com/en-us/dotnet/fundamentals/code-analysis/quality-rules/ca1858), current official analyzer page
- [CA1860](https://learn.microsoft.com/en-us/dotnet/fundamentals/code-analysis/quality-rules/ca1860), current official analyzer page
## Older but still canonical sources used cautiously
- [Reduce memory allocations using new C# features](https://learn.microsoft.com/en-us/dotnet/csharp/advanced-topics/performance/), Microsoft Learn, updated `2023-10-17`
- Still useful for `ref`, `in`, readonly struct, and copy-avoidance guidance, but older than the core 2025-2026 docs.
- [Intermediate materialization](https://learn.microsoft.com/en-us/dotnet/standard/linq/intermediate-materialization), Microsoft Learn, updated `2022-09-02`
- Still canonical for LINQ materialization semantics.
- [Deferred execution and lazy evaluation](https://learn.microsoft.com/en-us/dotnet/standard/linq/deferred-execution-lazy-evaluation), Microsoft Learn, updated `2022-09-29`
- Still canonical for LINQ deferred-execution semantics.
- [dotnet-stack](https://learn.microsoft.com/en-us/dotnet/core/diagnostics/dotnet-stack), Microsoft Learn, updated `2023-03-14`
- Used only for narrow stack-snapshot guidance because the page is stale compared to the other diagnostics docs.
## Explicit exclusions
- Framework-specific tutorials were intentionally excluded.
- GUI-first analysis flows were intentionally excluded.
- MCC-specific paths, code, and hot-path examples were intentionally excluded.

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---
description: Code-level performance patterns for csharp-dotnet-cli-optimization.
metadata:
tags: [linq, span, stackalloc, boxing, pooling, strings, analyzers]
---
# Code Patterns
Use this reference after a profile or benchmark identifies a hot path. Do not apply these patterns speculatively.
## Table Of Contents
- [LINQ And Enumeration](#linq-and-enumeration)
- [Stack Allocation, Span, And Memory](#stack-allocation-span-and-memory)
- [Structs, Boxing, And Copies](#structs-boxing-and-copies)
- [Buffer Reuse And Advanced Helpers](#buffer-reuse-and-advanced-helpers)
- [Strings](#strings)
- [What Not To Suggest](#what-not-to-suggest)
## LINQ And Enumeration
### Property or indexer over LINQ when the concrete collection is known
Wrong:
```csharp
if (items.Count() > 0)
{
return items.First();
}
```
Better:
```csharp
if (items.Count > 0)
{
return items[0];
}
```
Use `Count`, `Length`, `IsEmpty`, or an indexer when you already have a concrete collection with that API. Relevant analyzers: `CA1826`, `CA1829`, `CA1836`, `CA1860`.
### `Any()` over `Count() > 0` when all you know is `IEnumerable<T>`
Wrong:
```csharp
if (source.Count() != 0)
{
Process(source);
}
```
Better:
```csharp
if (source.Any())
{
Process(source);
}
```
Relevant analyzer: `CA1827`.
### Avoid multiple enumeration of deferred queries
Wrong:
```csharp
var query = source.Where(Filter);
return query.Count() + query.Last().Id;
```
Better:
```csharp
var materialized = source.Where(Filter).ToArray();
return materialized.Length + materialized[^1].Id;
```
Materialize once only when you truly need multiple passes or random access and can afford the extra memory. Relevant analyzer: `CA1851`.
### Avoid premature materialization
Wrong:
```csharp
var projected = source.ToList().Select(Map);
```
Better:
```csharp
var projected = source.Select(Map);
```
Keep deferred execution unless you need a snapshot, repeated traversal, indexing, or a boundary between expensive stages.
### Do not blanket-rewrite LINQ to loops
- .NET 10 improved many LINQ operations substantially.
- Start with analyzer-backed fixes and measurement.
- Replace LINQ with hand-written loops only when a benchmark or trace shows that the remaining cost matters.
### Use `TryGetNonEnumeratedCount` when count is optional
```csharp
if (source.TryGetNonEnumeratedCount(out int count))
{
LogCount(count);
}
```
This avoids forcing enumeration when the underlying type already knows its size.
## Stack Allocation, Span, And Memory
### `stackalloc` only for small, bounded, temporary buffers
Wrong:
```csharp
for (int i = 0; i < items.Length; i++)
{
Span<byte> buffer = stackalloc byte[4096];
Use(buffer);
}
```
Better:
```csharp
Span<byte> buffer = stackalloc byte[256];
for (int i = 0; i < items.Length; i++)
{
buffer.Clear();
Use(buffer);
}
```
Guidance:
- keep sizes conservative
- avoid `stackalloc` inside loops
- initialize the memory before use
- fall back to heap or pooling for larger or variable-sized buffers
### Prefer span-based APIs over substring copies
Wrong:
```csharp
int.TryParse(line.Substring(7), out int value);
```
Better:
```csharp
int.TryParse(line.AsSpan(7), out int value);
```
Relevant analyzers: `CA1845`, `CA1846`.
### Use `Span<T>` for sync work and `Memory<T>` for async or heap-stored state
Wrong:
```csharp
// Wrong: Span<T> cannot cross await safely.
public async Task<int> ReadAsync(Span<byte> buffer)
{
await socket.ReceiveAsync(buffer);
return buffer[0];
}
```
Better:
```csharp
public async Task<int> ReadAsync(Memory<byte> buffer)
{
await socket.ReceiveAsync(buffer);
return buffer.Span[0];
}
```
`Span<T>` is stack-only. If the lifetime crosses `await`, callbacks, or object storage, move to `Memory<T>`.
### `ref struct` is for stack-bound wrappers, not a general optimization badge
- Use `ref struct` when the type itself contains spans or must never escape to the heap.
- Do not use it if you need arrays of that type, boxing, interface conversions, or heap fields.
## Structs, Boxing, And Copies
### Use `readonly struct` or `readonly record struct` for small immutable values
Wrong:
```csharp
public struct Measurement
{
public double A;
public double B;
public void Normalize() => A /= B;
}
```
Better:
```csharp
public readonly record struct Measurement(double A, double B);
```
Prefer value types for small, copyable, data-only values. Avoid large, mutable structs.
### Pass large structs by `in`
Wrong:
```csharp
double Distance(Vector4 value) => value.X + value.Y + value.Z + value.W;
```
Better:
```csharp
double Distance(in Vector4 value) => value.X + value.Y + value.Z + value.W;
```
This avoids copying large struct values on each call.
### Avoid boxing in hot paths
Wrong:
```csharp
object boxed = valueStruct;
```
Wrong:
```csharp
IFormattable f = valueStruct;
```
Better:
```csharp
Use(in valueStruct);
```
Boxing allocates a heap object and copies the value. Interface conversions can box too.
### Mark readonly members on structs
- Non-readonly instance members on a readonly receiver can trigger defensive copies.
- Mark the whole struct `readonly` when possible, or mark readonly members explicitly.
## Buffer Reuse And Advanced Helpers
### Use `ArrayPool<T>` when the buffer is too large or variable for `stackalloc`
Wrong:
```csharp
byte[] temp = new byte[inputLength];
```
Better:
```csharp
byte[] temp = ArrayPool<byte>.Shared.Rent(inputLength);
try
{
Use(temp);
}
finally
{
ArrayPool<byte>.Shared.Return(temp);
}
```
Rules:
- return to the same pool once
- never use the buffer after return
- rented arrays may be larger than requested
- rented arrays are not guaranteed to be zeroed
### Prevent accidental closure capture
Wrong:
```csharp
return values.Select(v => v * 2).ToArray();
```
Better when no capture is needed:
```csharp
return values.Select(static v => v * 2).ToArray();
```
Use `static` lambdas or static local functions to prevent capture when the delegate does not need outer state.
### Cache `SearchValues<T>` for repeated searches
Wrong:
```csharp
int index = text.IndexOfAny(":/?&=".AsSpan());
```
Better:
```csharp
private static readonly SearchValues<char> s_delims =
SearchValues.Create(":/?&=".AsSpan());
```
```csharp
int index = text.IndexOfAny(s_delims);
```
Relevant analyzer: `CA1870`.
### `CollectionsMarshal.AsSpan` is advanced and ownership-sensitive
```csharp
Span<int> span = CollectionsMarshal.AsSpan(list);
```
Use this only when:
- you own the `List<T>`
- you will not add or remove items while the span is in use
- a measured hot path justifies bypassing normal list APIs
## Strings
### `StartsWith` over `IndexOf(...) == 0`
Wrong:
```csharp
return text.IndexOf("abc", StringComparison.Ordinal) == 0;
```
Better:
```csharp
return text.StartsWith("abc", StringComparison.Ordinal);
```
Relevant analyzer: `CA1858`.
### `Append(char)` over `Append("x")`
Wrong:
```csharp
builder.Append("]");
```
Better:
```csharp
builder.Append(']');
```
Relevant analyzers: `CA1834`, `CA1865-CA1867`.
## What Not To Suggest
- Do not suggest unsafe code first.
- Do not suggest pooling tiny objects by default.
- Do not suggest `stackalloc` because "heap bad, stack good".
- Do not suggest converting APIs to `Span<T>` if the lifetime model does not fit.
- Do not suggest loop rewrites without a profile or benchmark showing LINQ still matters after simpler fixes.

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---
description: CLR memory model and GC guidance for csharp-dotnet-cli-optimization.
metadata:
tags: [clr, gc, heap, stack, loh, memory-model]
---
# CLR Memory Model And GC
Use this reference when the user asks why allocations, boxing, heap growth, GC pauses, or stack-based techniques behave the way they do.
## Core Model
- Reference types allocate objects on the managed heap. Local variables and fields hold references to those objects.
- Value types store their data directly. A value type local is often stored in stack storage, but value types also live inline inside object fields and array elements.
- "`struct` means stack" is false. The useful distinction is inline storage plus copy semantics, not "stack forever".
- Boxing converts a value type to `object` or an interface by allocating a new heap object and copying the value into it.
- `ref struct` types, including `Span<T>` and `ReadOnlySpan<T>`, are stack-constrained wrappers that can't escape to the managed heap.
- `Memory<T>` and `ReadOnlyMemory<T>` are the heap-storable counterparts when data must live across `await`, callbacks, or object fields.
## How The GC Works
- The GC is generational: gen0 for young objects, gen1 as a buffer, gen2 for long-lived survivors.
- The large object heap (LOH) is used for allocations at or above 85,000 bytes by default.
- Background GC is enabled by default. It reduces pause impact for full collections but does not make them free.
- Server GC and workstation GC are process-level choices. The defaults are usually right unless measurement says otherwise.
- On modern 64-bit Windows and Linux, the GC internally uses regions, but the optimization model for application code is still about generations, allocation rate, survivor rate, LOH churn, and pinning.
## What Usually Makes GC Expensive
- High allocation rate on hot paths
- Objects surviving long enough to promote into older generations
- Large transient allocations that churn the LOH
- Excessive pinning that increases fragmentation
- Finalizers on objects that should have been deterministic `Dispose` calls instead
## Wrong vs Better
| Wrong | Better | Why |
|---|---|---|
| Assume a `struct` is always stack allocated | Explain whether it will be copied, boxed, stored inline, or escape | That is what actually drives cost |
| Allocate large temporary arrays repeatedly | Reuse, pool, or redesign the algorithm if measurement shows LOH churn | LOH allocations are cleared and collected with gen2 work |
| Call `GC.Collect()` to "fix" memory pressure | Lower allocation rate and object lifetime first | Forced GC usually adds pause time and hides the real problem |
| Pin many buffers for long periods | Minimize pin count and pin duration | Pinning can fragment the heap |
| Use finalizers for routine cleanup | Use `IDisposable`, `using`, and `SafeHandle` for unmanaged resources | Finalization is slower and delays reclamation |
## GC Configuration Rules
- Treat GC configuration changes as process-wide tuning, not local fixes.
- Prefer runtime defaults unless counters and traces show a clear reason to change them.
- Choose server GC for throughput-oriented workloads only after measurement.
- Use low-latency modes sparingly and for bounded windows. They reduce GC intrusiveness by letting memory grow and can increase fragmentation.
- If you are tuning in containers or hard memory limits, treat heap hard-limit settings as operational controls, not code-level optimizations.
## Bad vs Good Examples
Bad:
```csharp
for (int i = 0; i < 10_000; i++)
{
DoWork(new byte[200_000]);
}
GC.Collect();
```
Better:
```csharp
byte[] buffer = ArrayPool<byte>.Shared.Rent(200_000);
try
{
for (int i = 0; i < 10_000; i++)
{
DoWork(buffer);
}
}
finally
{
ArrayPool<byte>.Shared.Return(buffer);
}
```
Bad:
```csharp
public sealed class NativeThing
{
~NativeThing() => ReleaseHandle();
}
```
Better:
```csharp
public sealed class NativeThing : IDisposable
{
public void Dispose()
{
ReleaseHandle();
GC.SuppressFinalize(this);
}
}
```
## Practical Heuristics
- If counters show rising allocation rate and frequent gen0 collections, start by eliminating short-lived allocations.
- If gen2 collections or LOH size are the problem, look for survivor growth, pinned buffers, and large transient objects.
- If a change turns classes into structs, verify both allocation wins and copy costs.
- If the process is memory-constrained, inspect runtime GC settings before changing code blindly.
## What Not To Claim
- Do not claim that moving code to `struct` always reduces memory.
- Do not claim that stack allocation is always faster than pooling.
- Do not claim that background GC removes pause concerns.
- Do not claim that the GC is the problem unless counters, traces, or dumps support that diagnosis.