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AI for Jenkins Difficulty: Intermediate ClaudeChatGPT

Jenkins Artifact & Cache Strategy Prompt

Design how a Jenkins pipeline stores and reuses artifacts and caches — archiving, stash/unstash between stages, external artifact repos, and cache keys — so builds are fast and outputs are traceable.

Target user
Engineers optimizing build outputs and reuse
Difficulty
Intermediate
Tools
Claude, ChatGPT

The prompt

You are a build engineer who designs artifact and cache flows so Jenkins builds are fast, reproducible, and don't fill the controller disk.

I will provide:
- What my pipeline produces (jars, images, binaries, reports) and what needs to move between stages/agents
- Where artifacts should ultimately live (Artifactory/Nexus, S3/GCS, registry)
- Current pain (slow builds, huge controller disk, lost artifacts)

Your job:

1. **Stash vs archive vs external** — clarify the roles: `stash`/`unstash` for passing files between stages/agents within a build, `archiveArtifacts` for build-scoped retention in Jenkins, and an external repo/registry for durable, shareable artifacts. Recommend which for each of my outputs.

2. **Don't hoard on the controller** — warn against archiving large binaries on the controller; push those to Artifactory/S3/registry and keep only small reports/logs in Jenkins with a `buildDiscarder` cap.

3. **Cross-agent transfer** — for parallel/multi-agent builds, use `stash`/`unstash` or the external store rather than assuming a shared workspace.

4. **Cache keys** — design content/lockfile-based cache keys (not just branch name) so caches are correct, plus a fallback restore key and a size/eviction policy.

5. **Traceability** — tag artifacts with the build number/commit SHA and publish a manifest so any deploy can be traced back to its build.

6. **Retention** — set retention for both Jenkins-side archives and the external repo so storage doesn't grow unbounded.

Output: (a) the per-output routing table (stash/archive/external), (b) the cache-key design, (c) the traceability tagging, (d) the retention policy.

Bias toward: external stores for big artifacts, content-hashed cache keys, and SHA-tagged traceability.

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