Compressed caveman-style prose for AI coding agents — cuts ~65% output tokens while keeping full technical accuracy
96
100%
Does it follow best practices?
Impact
96%
1.00xAverage score across 38 eval scenarios
Passed
No known issues
{
"context": "Tests whether the response explains cache invalidation strategies and recommends an appropriate one.",
"type": "weighted_checklist",
"checklist": [
{
"name": "Explains write-through or write-behind",
"description": "Describes write-through (update cache on write) or write-behind (async cache update) as strategies",
"max_score": 10
},
{
"name": "Explains cache-aside with invalidation",
"description": "Describes cache-aside (lazy loading) with explicit invalidation on write (delete cache key on update)",
"max_score": 10
},
{
"name": "Recommends invalidation on write for this case",
"description": "Recommends actively invalidating (deleting or updating) the cache entry when the user updates their profile, not just waiting for TTL",
"max_score": 12
},
{
"name": "Addresses consistency vs performance tradeoff",
"description": "Discusses the tradeoff between cache freshness and read performance, or mentions eventual consistency",
"max_score": 10
},
{
"name": "No incorrect information",
"description": "Caching patterns and Redis behavior are described correctly",
"max_score": 12
}
]
}evals
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