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Dev.to
7/26/2026
The original title is 12 words: "I Planned 10 LLM Evaluation Experiments And Only Ran 1. It Was Enough."

The original title is 12 words: "I Planned 10 LLM Evaluation Experiments And Only Ran 1. It Was Enough."

Original: I Planned 10 LLM Evaluation Experiments And Only Ran 1. It Was Enough.

Short summary

An engineering leader planned 10 LLM evaluation experiments to determine when frontier models are worth the cost versus cheaper alternatives, but only ran one — CI diagnostics — and found it sufficient. Using Claude skills for CI log analysis reduced root-cause identification from over an hour to ~15 minutes and fix-to-production from a full day to under 2 hours. The author built a reusable evaluation harness called model-compass with 9 real agent tasks, per-task rubrics, and multi-vendor adapter support for Anthropic, OpenAI, DeepSeek, and others.

  • •Planned 10 LLM eval experiments across devops agent use cases but only ran CI diagnostics
  • •Built model-compass harness: 9 real agent tasks, multi-vendor adapters, cost-per-task scoring
  • •AI-assisted CI diagnosis cut root-cause time from 1hr+ to ~15min and fix-to-prod from 1 day to <2hr

Generated with AI, which can make mistakes.

#ai-tools#ai-agents#open-source
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