Repair DNS Cache Staleness
Repair ignored DNS TTLs, startup-only resolution, stale endpoint reuse, retry-to-same-address loops, discovery refresh stampedes, and DNS/pool confusion.
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You say
Our Go service calls an internal API by hostname. We added a custom DNS cache six months ago; it resolves once and keeps the IP until process restart. After blue/green deploys the old backend is removed, but long-lived processes continue dialing the retired IP and fail until restarted. The HTTP transport also keeps idle connections, so we need to distinguish DNS staleness from pooled connections. Repair locally with a fake resolver and two local HTTP endpoints. Use the DNS TTL supplied by the test fixture; do not query production DNS, change real TTLs, disable caching, or blindly retry POST requests.
Your agent does
DNS cache staleness found. The application resolves once and retains the address until restart, while HTTP connection reuse is a separate lifecycle. The repair honors the supplied TTL, coalesces refresh, rotates address generations, separates DNS from pooling, and adds deterministic A-to-B endpoint tests. Production DNS and resolver behavior remain unverified.
What you get
About this skill
DNS and service-discovery failures are often application lifecycle bugs: a custom resolver caches one IP forever, failed endpoints stay selectable, retries repeatedly choose the same dead address, or every caller triggers an emergency refresh at once.
Repair DNS Cache Staleness gives an AI coding agent a repository workflow for tracing resolution ownership, TTL/expiry behavior, address generations, connection-pool interaction, failed-address handling, refresh coalescing, and retry safety. It proves address rotation with fake clocks and local endpoints.
It does not query or change production DNS, flush live caches, disable caching globally, or invent TTL values.
How to install
Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.
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