Select algorithms and data structures that match the problem domain and access patterns rather than using convenient but suboptimal approaches. For complex parsing tasks, use proper AST-based parsing instead of regex. Design data structures that align with how data will be accessed and modified.

For example, when parsing structured expressions:

// Avoid regex for complex parsing
const objectLiteralRegex = /^\s*\{\s*([^}]*)\s*\}\s*$/;

// Use AST-based parsing instead
const parsed = new HtmlParser().parse(template, '', {
  tokenizeExpansionForms: true,
  tokenizeBlocks: true,
  preserveLineEndings: true,
});

When designing data structures, consider access patterns:

// Instead of complex nested mappings
private _hostNodes = new Map<Node, Map<Node, Node[]>>();

// Consider simpler structures that match usage
private _hostNodes = new Map<Node, { insertionPoint: Node; styles: Node[] }>();

Create consistent interfaces for strategy patterns to eliminate conditional logic:

// Update strategies to share interface with consistent parameters
interface Strategy {
  supports(element: Element): boolean;
  build(element: Element, index?: number): ComponentTreeNode[];
}

This approach reduces complexity, improves maintainability, and ensures algorithms scale appropriately with data size and usage patterns.

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