The rise of AI-powered app development, often called "vibe coding," allows for rapid prototyping but introduces a critical challenge: ensuring the app functions correctly for real users. Effective monitoring and telemetry are now essential for identifying errors and performance bottlenecks that self-testing can miss, providing valuable data for debugging. This is particularly important for AI-assisted development, as providing AI tools with runtime context—logs, errors, and performance data—significantly improves their ability to diagnose and fix issues.
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