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When developing parsers or grammars, apply strategic optimization by prioritizing commonly used language features and choosing appropriate conflict resolution algorithms based on performance trade-offs.

Focus development effort on the most frequently used language constructs rather than attempting comprehensive coverage initially. As noted in parser development practices: “Most languages have a long-tail of features that don’t get utilized frequently. It is reasonable to prioritize developing 80% of a language and only supporting commonly used elements.”

For handling parsing conflicts, choose resolution strategies based on their computational complexity:

1. Compile-time optimization: Rearrange grammar rules, specify associativity/precedence - these resolve ambiguities during parser generation with no runtime cost
2. Runtime resolution: Add explicit conflict handling - this defers ambiguity resolution to parse time, potentially impacting performance

Example conflict resolution approaches:

// Compile-time: Use precedence to resolve operator conflicts
precedence: [
  ['left', '+', '-'],
  ['left', '*', '/'],
]

// Runtime: Allow parser to handle ambiguity dynamically  
conflicts: $ => [
  [$.expression, $.statement]
]

This optimization strategy balances development velocity with parser performance, ensuring efficient resource allocation while maintaining practical functionality for the most common use cases.