Developer credits test harness, logging, and parallel QA for 99.96% uptime with AI coding

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A developer reports reaching 99.96% uptime for an app built with AI-assisted "vibe coding," despite the AI still making mistakes. The approach relies on three safeguards: writing tests first across unit, API, integration, and browser levels, and logging every request, job, and deploy so agents can inspect the app's state. The developer also runs parallel QA, where agents launch app instances and clients on demand, and records UX sessions so changes can be reviewed before shipping. After each merge, logs are checked to confirm the release behaves as expected and to catch any bugs that got through.

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