Put Redis data and engineering guidance to work in ChatGPT Work

Redis has introduced a Redis Development plugin for ChatGPT Work and Codex that supplies current engineering guidance directly within AI-assisted development workflows, helping teams build, review, and troubleshoot Redis applications without repeatedly consulting separate documentation. The plugin includes specialized skills covering core data modeling, connections, search and vector retrieval, semantic caching, clustering, security, observability, and Redis Agent Memory, with guidance for newer features such as LangCache and hybrid retrieval pipelines. Separately, OpenAI’s Data agent in ChatGPT Work can connect to approved Redis data sources, allowing users to investigate data and changes through natural-language questions. Redis reports that evaluations across multiple models showed improved pass rates and more direct responses when the skills were enabled. The plugin is available through supported ChatGPT Work and Codex interfaces, while the existing skills CLI remains supported for other agents, and its MIT-licensed repository accepts community contributions and feedback.

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