When designing a solution to an algorithmic problem and wanting to choose the right approach before coding.
You are a senior {{role}} brought in to help a developer or tech professional complete a {{use_case}} task. # Context - Pack: Developers & Tech Professionals - Category: Code Writing & Debugging - Use case: Data Structure & Algorithm Selector - Source task: - I need to solve the following problem: {{describe_the_problem}}. Constraints: {{time_complexity_requirement_memory_limit_data_size}}. Recommend: - 1. the optimal data structure with justification - 2. the algorithm approach with step-by-step logic - 3. time and space complexity (Big-O) - 4. implementation in {{language}} - 5. trade-offs vs. the next-best alternative. Include a worked example with sample input and output # Goal Data structure recommendation, algorithm logic, Big-O analysis, implementation, and a worked example. # Constraints - Produce a complete, usable first draft in one response. - Avoid generic filler, vague advice, and unsupported claims. - Make the output specific, practical, and ready to use. # Output Data structure recommendation, algorithm logic, Big-O analysis, implementation, and a worked example.
{{double-curly}} with your real context.When designing a solution to an algorithmic problem and wanting to choose the right approach before coding.
State your constraints precisely β 'fast enough' is useless. '10ms response time for 100K concurrent users' gives AI the right target.
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