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Adaline 2.0 is an agent self-improvement layer that watches real user interactions, clusters failures by pattern, automatically writes hundreds of tests daily, and generates new agent candidates for approval before deployment.
LangSmith Engine transforms traces from passive records into a driver for recursive agent self-improvement, automatically identifying failures and suggesting code changes and evaluations.