https://www.infoq.com InfoQ LinkedIn feed https://www.infoq.com/news/2026/08/linkedin-ai-code-review/?utm_campaign=infoq_content&utm_source=infoq&utm_medium=feed&utm_term=LinkedIn <img src="https://res.infoq.com/news/2026/08/linkedin-ai-code-review/en/headerimage/linkedin-code-review-1787387463447.jpeg"/><p>At LinkedIn's scale, relying solely on human reviewers or simply putting an off-the-shelf AI reviewer in front of GitHub is not an effective way to manage PRs. To address this, LinkedIn engineers built a multi-agent AI code review platform that understands the organization's coding context, treats code review as production infrastructure, and minimizes hallucinations and low-signal feedback.</p> <i>By Sergio De Simone</i> Agents Kubernetes Code Reviews LinkedIn Large language models AI, ML & Data Engineering DevOps Development news Sat, 22 Aug 2026 09:00:00 GMT https://www.infoq.com/news/2026/08/linkedin-ai-code-review/?utm_campaign=infoq_content&utm_source=infoq&utm_medium=feed&utm_term=LinkedIn Sergio De Simone 2026-08-22T09:00:00Z /news/2026/08/linkedin-ai-code-review/en