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 designs a correct distributed rate limiting system.",
"type": "weighted_checklist",
"checklist": [
{
"name": "Uses centralized store for multi-instance",
"description": "Recognizes that multiple server instances need a shared store (Redis, Memcached) for consistent rate limiting",
"max_score": 15
},
{
"name": "Describes a valid algorithm",
"description": "Uses a recognized rate limiting algorithm: sliding window, token bucket, leaky bucket, or fixed window counter",
"max_score": 12
},
{
"name": "Returns correct HTTP headers",
"description": "Includes X-RateLimit-Limit, X-RateLimit-Remaining, and X-RateLimit-Reset (or Retry-After) headers",
"max_score": 10
},
{
"name": "Returns 429 status code",
"description": "Returns HTTP 429 Too Many Requests when the limit is exceeded",
"max_score": 8
},
{
"name": "No incorrect information",
"description": "Rate limiting concepts and implementation details are technically correct",
"max_score": 10
}
]
}evals
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