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hardAI Engineering

How do you version, test and safely roll out prompt changes?

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01

Understand the problem

Prompts are code: review, eval gates, and staged rollout instead of vibes-driven edits.

prompt-versioningevalsdeploymentllmops
02

Attempt it yourself

Sketch your approach before reading the solution — that's what interviews test.

Nudge consolestandby

Stuck? Beam a request up — the console returns a conceptual nudge that guides your logic without spoiling the implementation.

03

Study the solution

Treat prompts as versioned artifacts: store them in git (or a prompt registry) with IDs, review changes like code, and gate merges on an eval suite — a golden dataset scored by code and LLM-judge graders — so you see accuracy deltas, not anecdotes. Roll out gradually (shadow traffic or a percentage canary), monitor qua

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04

Read the code

Eval-gated CI for a prompt PR
# .github/workflows/prompt-ci.yml (essence)
npm run eval -- --prompt support-triage@HEAD --dataset golden/triage.jsonl \
  --baseline main --report eval-report.md

# fails the build if any tracked metric drops beyond threshold:
#   accuracy      0.91 -> 0.92   OK
#   faithfulness  0.97 -> 0.89   FAIL (-0.08 > 0.02 tolerance)
05

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