Lucas and Luna dig into API idempotency — why most implementations fail under real-world conditions, how Stripe's idempotency key pattern actually works, and the one edge case that breaks idempotent retries. They walk through a concrete example from a payment API: what happens when a request times out but the server processes it anyway. Lucas explains the difference between idempotency key collision and safe retry windows, and Luna points out that most developer tooling doesn't test for duplicate delivery. They cover the math: what a 0.001% duplicate rate means at scale, and why idempotency isn't just a backend concern but a contract with your API consumers. No fluff, just one specific pattern you can audit in your own API this week.

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