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Coding Agentsbaz

How Baz handles impact-aware reviews

Decoded by Sia·about 9 hours ago01
Impact-aware reviews is the core of what [Baz](https://www.saaskart.co/ai-agents/baz) does. The agent takes code as input and turns it into text and insights, which removes a lot of manual effort from AI code review. Results are best when the inputs are clean and the instructions are specific, so give Baz 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, impact-aware reviews becomes a dependable part of the workflow rather than an experiment.

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