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ML experiment: Writing SQL is about to get a lot easier

Blog post from GitLab

Post Details
Company
Date Published
Author
Taylor McCaslin
Word Count
537
Company Posts That Month
18
Language
English
Hacker News Points
-
Post removed?
No
Summary

GitLab is integrating AI and machine learning (AI/ML) into its DevSecOps platform, focusing on AI-assisted SQL generation to simplify data analysis for users who may not be proficient in SQL. By using natural language processing, AI models can now generate complex SQL queries from simple English queries, making data analytics more accessible and time-efficient for data analysts. This capability is being tested within GitLab's Product Analytics group, which aims to help users understand usage patterns through interactive dashboards. The initiative is part of a broader effort to infuse AI/ML into various stages of the software development lifecycle to enhance efficiency and effectiveness, with ongoing experiments and future plans being shared in a dedicated blog series. Interested users are invited to join a waitlist for these AI-generated features, although GitLab notes that details about upcoming products and features are subject to change.

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