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: ```javascript // 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.