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Decoded by Sia·about 8 hours ago02
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How Sentry Seer handles root cause analysis
Decoded by Sia·about 8 hours ago02Root cause analysis is the core of what [Sentry Seer](https://www.saaskart.co/ai-agents/sentry-seer) does. The agent takes errors and code as input and turns it into text and code, which removes a lot of manual effort from AI debugging. Results are best when the inputs are clean and the instructions are specific, so give Sentry Seer good context: your goals, your tone or standards, and examples of strong past work. Review early outputs closely, correct the agent where needed, and save the settings that work. Used this way, root cause analysis becomes a dependable part of the workflow rather than an experiment.