caching
Reuse a stored result with explicit freshness and failure rules.
Use this when Repeated requests recompute the same expensive result or reread the same data.
without the term
“We repeat this expensive lookup with the same inputs. Reuse results while defining when they become stale.”
with the term · How do you ask a model for caching?
Cache this result with explicit keys and freshness. Test invalidation, tenant isolation, and cache-outage behavior.
What is caching?
A cache holds reusable data or computed results. Keys, expiration, invalidation, capacity, and misses determine whether reuse is correct; the authoritative data remains a separate responsibility.
Why does caching matter when vibe coding?
An agent can cache a user-specific result under a shared key or keep stale permissions indefinitely.
How do you do caching?
Define the key and acceptable staleness. Test hits, misses, invalidation, tenant separation, eviction, and a cache outage. Measure origin load as well as latency.
What goes wrong with caching?
A cache can amplify outages through miss storms. Fast stale data can still be wrong.
Sources for this entry
- Amazon Builders’ Library: Caching challenges
Cache freshness, capacity, failure behavior, and cache population are separate design concerns.
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