June 11, 2024, 12:30 p.m. | Eran Stiller

InfoQ - AI, ML & Data Engineering www.infoq.com

Slack's engineering team recently published how it used a large language model (LLM) to automatically convert 15,000 unit and integration tests from Enzyme to React Testing Library (RTL). By combining Abstract Syntax Tree (AST) transformations and AI-powered automation, Slack's innovative approach resulted in an 80% conversion success rate, significantly reducing the manual effort required.

By Eran Stiller

abstract ai ai-powered architecture & design automation development engineering integration integration testing language language model language models large language large language model large language models library llm ml & data engineering react slack syntax team test automation testing tests tree unit-testing

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