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Integral’s Robin AI Helps Developers Automate & Optimize Code Change Reviews

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Integral, the data privacy automation company, has announced the company’s first open source project called Robin AI, that reviews code changes and provides constructive feedback, helping to improve the code.

Robin AI was initially developed as an internal tool to assist Integral’s engineers in writing performant and robust code. After surpassing expectations in improving code quality and development efficiency, Integral decided to share Robin AI with the engineering community by making it an open source project.

John Kuhn, co-founder and CTO at Integral, said: “By open-sourcing the software, we hope that developers worldwide can automate and optimize their code change reviews, increasing quality and productivity.”

Powered by GPT, Robin AI leverages advanced natural language processing capabilities to review code changes. The tool performs best in JavaScript repositories and offers human-like feedback. With the code review process automated, engineering teams can streamline their workflows and focus on creating high-quality software. As a ready-to-use GitHub action, Robin AI offers a seamless integration that can be implemented immediately.

Integral’s main business enables organizations to create compliant datasets for analysis, sharing, machine learning, and more. By making data compliant throughout the ecosystem, Integral is building the data enablement layer to automate data compliance.