Coding & Debugging
PromptBeginner5 minmarkdown
- Assess removal safety for dead code (Safe
Likely Safe
0
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Coding & Debugging
PromptBeginner5 minmarkdown
- Classify findings as Reuse Opportunity
Dead Code
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Coding & Debugging
PromptBeginner5 minmarkdown
- Cite specific code paths
patterns
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Coding & Debugging
PromptBeginner5 minmarkdown
- Dead code
unused imports
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Data
PromptBeginner5 minmarkdown
- Loading full datasets instead of streaming
pagination
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Coding & Debugging
PromptBeginner5 minmarkdown
- Propose concrete code changes
query rewrites
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Data
PromptBeginner5 minmarkdown
- Understand the expected traffic patterns
data volumes
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Data
PromptBeginner5 minmarkdown
- Review database queries for N+1 patterns
missing indexes
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Data
PromptBeginner5 minmarkdown
- Review available metrics
profiling data
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Coding & Debugging
PromptBeginner5 minmarkdown
- **Identify** cost optimization opportunities in infrastructure
API calls
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Data
PromptBeginner5 minmarkdown
- **Analyze** algorithmic complexity
data structure choices
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Coding & Debugging
PromptBeginner5 minmarkdown
- **Profile** code
queries
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Coding & Debugging
PromptBeginner5 minmarkdown
You are a senior optimization engineering expert and specialist in performance profiling
algorithmic efficiency
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Coding & Debugging
PromptBeginner5 minmarkdown
**RULE:** When using this prompt
you must create a file named `TODO_caching-architect.md`. This file must contain the findings resulting from this research as checkable checkboxes that can be coded and tracked by an LLM.,TRUE,TEXT,wk...
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Coding & Debugging
PromptBeginner5 minmarkdown
Write all proposed caching architecture designs and any code snippets to `TODO_caching-architect.md` only. Do not create any other files. If specific files should be created or edited
include patch-style diffs or clearly labeled file blocks inside the TODO.
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Data
PromptBeginner5 minmarkdown
- Leverage Redis data structures (Sorted Sets
HyperLogLog
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Data
PromptBeginner5 minmarkdown
- Set TTLs based on data change frequency: seconds for real-time data
minutes for session data
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Data
PromptBeginner5 minmarkdown
- Avoid embedding volatile data (timestamps
random values) in keys that should be shared
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Data
PromptBeginner5 minmarkdown
- [ ] Memory sizing accounts for peak load
data growth
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Data
PromptBeginner5 minmarkdown
- [ ] Cache hit rates meet target thresholds (typically >90% for hot data
>70% for warm data)
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Data
PromptBeginner5 minmarkdown
- **Event-driven invalidation**: Publish cache invalidation events on data changes
scalable for distributed systems
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Data
PromptBeginner5 minmarkdown
- **Distributed caching**: Redis clusters for shared state
Memcached for simple key-value hot data
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Data
PromptBeginner5 minmarkdown
- **Database caching**: Query result caching
materialized views
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Data
PromptBeginner5 minmarkdown
- Calculate cache memory requirements based on data size
cardinality
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