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 balanced, technically accurate guidance on the monolith-to-microservices decision.",
"type": "weighted_checklist",
"checklist": [
{
"name": "Mentions operational complexity increase",
"description": "Warns that microservices add operational overhead: deployment, monitoring, networking, service discovery",
"max_score": 12
},
{
"name": "Suggests profiling first",
"description": "Recommends identifying the actual bottleneck before splitting — the slowness might be fixable within the monolith",
"max_score": 12
},
{
"name": "Mentions data consistency challenges",
"description": "Notes that splitting introduces distributed data problems: transactions across services, eventual consistency",
"max_score": 10
},
{
"name": "Mentions team structure consideration",
"description": "References team size or organization as a factor (Conway's law or similar reasoning)",
"max_score": 10
},
{
"name": "Does not unconditionally recommend microservices",
"description": "Response is balanced — does not simply say 'yes, switch to microservices' without caveats",
"max_score": 12
},
{
"name": "No incorrect information",
"description": "Response does not contain factually wrong statements about microservices architecture or Django",
"max_score": 10
}
]
}evals
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