Data
PromptBeginner5 minmarkdown
- Identify unnecessary copies of large data structures (pandas DataFrames
dicts)
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dicts)
Dead Code
Likely Safe
patterns
unused imports
race conditions
pagination
query rewrites
missing indexes
serialized async work
excessive reads/writes
data volumes
profiling data
contention points
API calls
data structure choices
queries
algorithmic efficiency
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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read/write ratios
include patch-style diffs or clearly labeled file blocks inside the TODO.
HyperLogLog
random values) in keys that should be shared