A code review agent has been developed that learns from developer interactions, adapting its suggestions over time based on acceptance and rejection feedback. This system uses a memory layer to recall past decisions, improving its relevance and alignment with team standards, making it more effective than one-shot AI tools for developers. Developers should watch for future integrations like GitHub support and team-specific memory enhancements.
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