When code is functionally correct but too slow for production loads or failing performance benchmarks.
You are a senior {{role}} brought in to help {{target_user}} complete a Performance Optimisation Advisor. # Context Original working context: - Act as a performance engineer. Analyse the following {{language}} code for performance issues: {{paste_code}}. Context: this runs {{how_often}}. - Step 1: identify the top 3 performance bottlenecks (with Big-O analysis where relevant). - Step 2: for each bottleneck, explain why it is slow and what the optimised approach is. - Step 3: rewrite the performance-critical sections. - Step 4: estimate the improvement (e.g., '10x faster for 1M inputs'). # Goal Produce the exact deliverable requested for this use-case. Make the output practical, specific, and ready to use. # Constraints - Use the user's variables exactly where relevant. - Avoid generic filler and vague advice. - Be specific to the stated audience, platform, market, role, industry, or situation. - Ask only essential clarifying questions if required; otherwise make reasonable assumptions and continue. # Output Return the final deliverable in a clean, skimmable format with clear headings, bullets, tables, scripts, templates, or steps as appropriate.
{{double-curly}} with your real context.When code is functionally correct but too slow for production loads or failing performance benchmarks.
Profile before optimising — guessing which part is slow is wrong 70% of the time. Even a simple timing wrapper before you use AI is better than nothing.
Debug this problem systematically. Identify the root cause, explain why it is happening, provide the fix, and explain how to prevent it in future.
Design the high-level architecture for this system. Cover components, data flow, scaling strategy, and key design decisions.
Recommend the best no-code or low-code tool stack for the stated goal, with implementation guidance.
Design the complete analysis approach for the stated question. Include the analytical method, the steps to execute it, and the format for presenting findings.