This article details a structured approach to implementing text classification for e-commerce code reviews using a Node.js worker and the GPT API. The core idea is to treat classification as a versioned evaluation problem, focusing on the validity and consistency of findings rather than just the fluency of the model's output. The proposed method emphasizes a strict contract for the review results, defining specific categories and severities, and includes a policy version to ensure auditability. This approach aims to produce dependable, testable labels by validating the output schema and handling various failure modes, such as invalid classifications or timeouts, as distinct events. AI
IMPACT Provides a structured method for integrating LLM-based classification into code review workflows, improving reliability and testability.
RANK_REASON Article describes a specific technical implementation and approach for using an LLM API in a software development context.
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