Idempotency prevents duplicate operations like double-charging customers when retries occur. The guide covers HTTP method idempotency (GET/PUT/DELETE are safe, POST is not), idempotency keys for APIs, and message consumer patterns. The critical insight: storing the idempotency key in the same database transaction as the work — backed by a unique constraint — is what guarantees exactly-once effects. Redis can serve as a fast cache in front of that constraint, but the database is the source of truth. Common pitfalls covered include caching failures, key reuse with different payloads, TTL expiry windows, and state-dependent operations that can't be replayed.

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The agent harness wasn't supposed to be the black box (Partner)What Idempotency Means?Why you can’t Dodge This?Idempotency in HTTP MethodsIdempotency in Messaging SystemsWhere you Store the Key is the Whole GameChallenges Worth Knowing AboutBest Practices📌 TL;DR
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