How I shipped a Temporal-powered product in three weeks, one year out of college
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A recent CS grad shares how they shipped a full property management product built on Temporal Cloud in just three weeks, using AI coding agents (primarily Claude Code) to overcome the learning curve. The post walks through the architecture: a parent polling Workflow that spawns child Workflows for each maintenance request, with Signals handling human responses via email and voice calls. Key lessons include using CLAUDE.md to persist agent instructions, teaching the agent Temporal-specific rules (like determinism in Workflows), and an honest reflection on an anti-pattern in the original polling design. The author argues that Temporal's reputation for complexity is mostly psychological, and that AI agents can serve as effective teachers for unfamiliar frameworks.
