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Minimize object creation and memory allocations, especially in frequently called methods and hot code paths, to reduce garbage collection pressure and improve performance.

Key practices:

1. Avoid varargs methods like Objects.hash() in hashCode() implementations for objects that will be used as map keys, as they allocate arrays with each call: ```java // Instead of this: public int hashCode() { return Objects.hash(name, params, returnType); // Creates array allocation }

// Prefer this: public int hashCode() { int result = name.hashCode(); result = 31 * result + params.hashCode(); result = 31 * result + returnType.hashCode(); return result; }

2. Cache method results that would otherwise create new collections on each call:
```java
// Instead of repeatedly calling:
method.parameterTypes().size() // Creates new collection each time

// Cache the result or use alternatives:
int paramCount = method.parametersCount(); // Doesn't create collection

1. Optimize collection creation for small, known sizes:

   // Use specialized factories for small collections:
   this.params = switch (method.parametersCount()) {
    case 0 -> List.of();
    case 1 -> List.of(method.parameterTypes().get(0).name());
    case 2 -> List.of(method.parameterTypes().get(0).name(), method.parameterTypes().get(1).name());
    default -> {
        List<DotName> ret = new ArrayList<>(method.parametersCount());
        for (Type i : method.parameterTypes()) {
            ret.add(i.name());
        }
        yield ret;
    }
   };
   

2. Create specialized non-collection return methods for hot paths: ```java // Instead of always returning collections: public List<RequestMatch> mapFromPathMatcher(...) { ... }

// Provide specialized method for common cases: public RequestMatch map(String path) { // Direct return without collection creation } ```

Be conscious of underlying collection implementations when choosing iteration patterns (for-loops vs iterators) as using index-based access on LinkedLists can lead to O(n²) performance.