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1. Prompt Versioning and Promotion2. CI/CD Quality Gates for AI

CI/CD Quality Gates for AI

📚 MLOps and PromptOps⏱ 10 min⭐ 110 XP⌨ Hands-on lab

Automated Gates, Not Manual Hope

Embed AI-specific release gates in CI pipelines: task quality, policy adherence, latency, and cost impact. Prevent deploy when metrics fail - production incidents are more expensive than delayed releases, and "it looked fine in the playground" is not a test strategy.

The AI Quality Pipeline

# .github/workflows/ai-release.yml (conceptual)
on: pull_request
jobs:
  ai-gates:
    steps:
     - run: validate-schemas prompts/ guardrails/     # artifacts parse + lint
     - run: eval --suite golden --min-score 0.85      # quality gate
     - run: eval --suite safety --min-block 0.97      # safety gate (blocking)
     - run: eval --suite regression --allow-fail 0    # fixed bugs stay fixed
     - run: perf-probe --p95-max 2200ms --n 50        # latency sanity
     - run: cost-delta --max-increase 10%             # token budget guard

Gate Design Rules

RuleRationale
Machine-checkable thresholds"Looks good to me" doesn't scale and can't be audited
Safety gates are non-overridableQuality gates may allow justified exceptions; new safety false negatives never ship
Fail with diffs, not scores"0.83 < 0.85" is useless; show WHICH cases regressed versus the incumbent
Keep eval runs cheapA tiered suite (smoke → full) keeps PR feedback under minutes, full suite pre-merge

Post-Deploy Automation

  • Canary metrics wired to automatic rollback triggers - e.g. "incident-rate +40% in 1h" or "guardrail interventions +30%" reverts the manifest without waiting for a human to notice.
  • Release annotations on dashboards - every metric graph shows deploy markers, so correlation is visual and instant.
  • Scores archived per release - trend lines across versions expose slow quality erosion that single releases hide.
Culture check: if teams routinely bypass the gates "just this once", the gates are either too slow or not trusted. Fix the suite's speed and flakiness - don't normalise the bypass.
⌨ HANDS-ON LABDefine AI Release Gates
⭐ +150 XP

Create CI rules that block deployments when quality or safety drops below threshold.

1Write gate criteria in a policy file.
2Add rollback trigger criteria.
lab-sandbox — simulated environment
INFINITY LAB SANDBOX v2.6 — simulated shell
Type the command for the current objective. Helpers: "hint", "solution", "clear".
$
OBJECTIVE 1 / 2 — type "hint" if stuck
🧪 Knowledge Check
Press 1-4 to select1 of 2
AI release gates should validate:
Only syntax
Quality, safety, performance, and cost
Only build time
Only README