> For the complete documentation index, see [llms.txt](https://docs.sonarsource.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.sonarsource.com/sonarqube-cloud/managing-your-projects/issues/with-ai-features.md). # With AI features You can manage and fix your SonarQube Cloud issues with AI features powered by the SonarQube Remediation Agent. The agent proposes fixes for issues in your main branch and in your pull requests, which you review before merging. These capabilities are documented in the Agent Centric Development Cycle docs: * [Backlog fix suggestions](/agent-centric-development-cycle/how-to-guides/solve-issues/backlog-fix-suggestions.md): assign main-branch issues to the agent or run it on an automated schedule. * [Pull request fix suggestions](/agent-centric-development-cycle/how-to-guides/solve-issues/pull-request-fix-suggestions.md): get AI-generated fix suggestions when your quality gate fails on a pull request. --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://docs.sonarsource.com/sonarqube-cloud/managing-your-projects/issues/with-ai-features.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.