AWS Releases Agent DLC Engineering Methodology and Evaluation Practices
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On November 12, 2026, the AWS Machine Learning Blog published the Agent Development Lifecycle (Agent DLC) methodology, aimed at providing an engineering approach for taking agents from prototype to production. The methodology organizes six activities—Define, Build, Evaluate, Release, Observe, and Feed Back—around an explicit gold standard, and adopts an inner-outer dual-loop structure to assess whether agents meet production standards. This is the first report on this event, with no follow-up developments or supplementary information yet.
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- AWS Machine Learning BlogFrom prototype to production: Engineering agents with Agent DLC
AWS Machine Learning Blog introduced the Agent Development Lifecycle (Agent DLC) methodology, which organizes six activities—Define, Build, Evaluate, Release, Observe, and Feed Back—around an explicit gold standard with inner and outer loops, to assess whether agents meet production standards.
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