Reduce memory allocations and garbage collection pressure in frequently executed code paths. Object creation through functional methods like Object.fromEntries(), map(), and repeated toString() calls can cause significant performance degradation in hot paths.

Prefer manual object construction over functional approaches:

// ❌ Avoid - creates multiple intermediate objects
return Object.fromEntries(
  keyColumns.map(col => [col, row[col]])
);

// ✅ Better - single allocation
const result = {};
for (const col of keyColumns) {
  result[col] = row[col];
}
return result;

Accumulate strings efficiently:

// ❌ Avoid - repeated toString() calls
l < r && (this.currVal += chunk.subarray(l, r).toString('utf8'));

// ✅ Better - collect segments, join once
segments.push(chunk.subarray(l, r));
// Later: segments.join('')

Prevent unbounded memory growth: Monitor data structures that grow indefinitely (like histograms per keystroke) and implement cleanup strategies or size limits. Consider the memory footprint of operations that scale with user input frequency.

Use lazy evaluation for expensive operations: Only create error stacks, stringify large objects, or perform expensive computations when actually needed, especially in debug scenarios or error paths.

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