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:** ```typescript // ❌ 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:** ```typescript // ❌ 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.