Identify performance bottlenecks using multiple analysis approaches. Performance issue: {{issue}} Metrics: {{metrics}} System: {{system}} ## ANALYSIS 1: Latency Breakdown - Where is time spent in the request path? - Bottleneck hypothesis: [component] - Confidence: [percentage] ## ANALYSIS 2: Resource Utilization - What resources are constrained? - Bottleneck hypothesis: [resource] - Confidence: [percentage] ## ANALYSIS 3: Comparative Analysis - How does this compare to baseline? - What changed? - Bottleneck hypothesis: [change] - Confidence: [percentage] ## TRIANGULATION - Consistent findings across analyses: [list] - Conflicting findings: [list] - Most likely bottleneck: [component] - Recommended investigation: [next steps]
Performance Bottleneck Triangulation
Triangulate performance bottlenecks using multiple analysis methods.
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CodingUse Cases
Performance bottleneck identificationMulti-method debuggingRoot cause triangulation
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claude-opus-4.5gpt-5.2gemini-2.0-flash
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