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Debugging JavaScript code written by AI or unknown authors requires a different mindset than traditional debugging. Instead of reading through unfamiliar code top-to-bottom, start with the runtime failure: the actual error, browser, user actions, and whether it correlates with a deploy. The real bugs are usually hidden assumptions — that an API always returns data, the DOM is ready, or users follow the 'correct' path. Reconstructing the full context around a failure (telemetry, console logs, network activity) is essential. The post also promotes TrackJS as a tool for capturing production evidence to stop guessing and start fixing.