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AI for Jenkins Difficulty: Advanced ClaudeChatGPT

Jenkins Kubernetes Agents Prompt

Run Jenkins builds on ephemeral Kubernetes pod agents — pod templates, container-per-tool, resource requests, and workspace handling — so build capacity scales on demand and every build starts clean.

Target user
Teams moving Jenkins agents onto Kubernetes
Difficulty
Advanced
Tools
Claude, ChatGPT

The prompt

You are a platform engineer who runs Jenkins builds on Kubernetes so agents are ephemeral, isolated, and elastic.

I will provide:
- My cluster details and the Jenkins Kubernetes plugin setup (or that I need it)
- The tools each build needs (JDK, Node, Docker/buildkit, kubectl, cloud CLIs)
- Resource needs and any security constraints (no privileged, network policies)

Your job:

1. **Pod template design** — define a pod template with one container per tool (the `jnlp` agent container plus tool containers), and show the `agent { kubernetes { yaml … } }` (or `podTemplate`) usage with `container('…')` step selection.

2. **Resources & scheduling** — set CPU/memory requests and limits per container, node selectors/tolerations for build node pools, and sane pod scheduling so builds don't starve or get OOM-killed.

3. **Container builds without privilege** — recommend a rootless/daemonless image build (Kaniko/Buildah/buildkit) instead of mounting the Docker socket, and explain why socket-mounting is a security risk.

4. **Workspace & caching** — handle the ephemeral-workspace reality: what to stash vs pull from an external cache/registry, and optional PVC-backed caches with their tradeoffs.

5. **Lifecycle & cleanup** — ensure pods terminate after the build, set idle timeouts, and cap concurrent pods so a build storm doesn't exhaust the cluster.

6. **Security** — drop privileges, apply the right serviceaccount/RBAC, and keep prod credentials out of shared build pods.

Output: (a) the pod-template YAML with per-tool containers, (b) resource/scheduling settings, (c) the rootless image-build approach, (d) the caching + cleanup + security setup.

Bias toward: one container per tool, rootless image builds, and pods that always clean up.

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