Workspace Cleanup Policy with Claude Code: Build vs Buy Decision
A production playbook for workspace cleanup policy in cross-industry operations using Claude Code: build vs buy decision, run-scoped inputs, logs, typed results, and artifacts.
Audience: Platform teams managing ephemeral execution
The problem
Platform teams managing ephemeral execution need workspace cleanup policy to run repeatedly against temporary files, terminal states, storage rules, and retention policy. In cross-industry operations, the pain is not one good answer; it is repeatability, auditability, exception handling, and evidence that survives handoff.
Implementation path
Compare the work required to operate workspace cleanup policy: sandbox lifecycle, provider credentials, input injection, logs, artifact delivery, retries, and result validation.
Tradeoffs and failure modes
Building gives total control; buying the runtime compresses the path to a customer-facing workflow. For workspace cleanup policy, the practical test is whether a second run can be debugged, retried, and consumed by a product without reading the raw agent transcript.
Decision table
Build internally if you need bespoke infrastructure primitives.
Use Argo if you need workspace cleanup policy as a product workflow: inputs, Claude Code, logs, result JSON, and artifacts.
Use both if a specialized sandbox must sit behind a stable run contract.
Run this on Argo