Google has introduced a developer skill for coding agents that automates a five-stage quality flywheel: data preparation, inference, grading with adaptive AutoRaters, failure-cluster analysis, and targeted optimization. Developers can describe evaluation goals in natural language and run the workflow continuously against production traffic or on demand with synthetic scenarios. An independent evaluation service is intended to verify and quantify real performance gains, addressing a common agent-development risk: prompt changes that fix an isolated failure while introducing broader regressions. The supplied material does not identify supported coding agents, pricing, availability, benchmark results, or the statistical criteria used to confirm improvements.
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