Debugging prompts

Analyze performance bottleneck for {{application_name}}. Symptom: {{symptom}}. Stack: {{tech_stack}}. Current metrics: {{metrics}}. Analyze: (1) request lifecycle breakdown (DNS, TLS, TTFB, transfer, parse, execute), (2) database query analysis (N+1, missing indexes, full scans), (3) memory profiling strategy (heap snapshots, allocation tracking), (4) CPU profiling (flame graph interpretation), (5) I/O analysis (disk, network, async queue depth), (6) concurrency analysis (thread pool, connection...

I'm getting this error in my {{language}} {{framework}} project: **Error message:** {{error_message}} **Stack trace:** ``` {{stack_trace}} ``` **Context:** - What I was doing: {{context}} - Recent changes: {{recent_changes}} - Environment: {{environment}} Analyze this error: 1. What does this error mean in plain English? 2. What is the most likely root cause? 3. How to fix it (with code) 4. How to prevent it in the future

Act as a senior SRE. Create a systematic debugging plan for the following incident. Symptoms: {{symptoms}} Affected service: {{service}} Recent changes: {{recent_changes}} Environment: {{environment}} Provide: 1. Triage steps (first 15 minutes) 2. Hypothesis list ranked by likelihood 3. Diagnostic commands/tools for each hypothesis 4. Data to collect before restarting/fixing 5. Rollback criteria 6. Communication template for stakeholders 7. Post-mortem checklist

Build log analysis queries for {{log_platform}}. Issue: {{issue_description}}. Log format: {{log_format}}. Time range: {{time_range}}. Generate: (1) request tracing query (correlation ID through all services), (2) error pattern detection query, (3) latency percentile queries (p50, p95, p99), (4) anomaly detection query (sudden spikes or drops), (5) user impact analysis query (how many users affected), (6) root cause narrowing query (correlate with deployments, config changes). Include query expl...