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 provides practical CI pipeline optimization strategies.",
"type": "weighted_checklist",
"checklist": [
{
"name": "Suggests parallelizing independent steps",
"description": "Recommends running lint, unit tests, and build in parallel since they're independent",
"max_score": 15
},
{
"name": "Recommends dependency caching",
"description": "Suggests caching node_modules or the npm/yarn cache to skip repeated installs",
"max_score": 12
},
{
"name": "Proposes test splitting or sharding",
"description": "Suggests splitting test suites across parallel runners/matrices to reduce the longest step",
"max_score": 10
},
{
"name": "Mentions conditional or incremental steps",
"description": "Suggests skipping steps when unchanged (e.g., skip lint if no source changes, skip deploy on non-main branches)",
"max_score": 8
},
{
"name": "No incorrect information",
"description": "GitHub Actions syntax references and CI concepts are correct",
"max_score": 10
}
]
}evals
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