> 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/agent-centric-development-cycle/features.md). # Features - [Context Augmentation](https://docs.sonarsource.com/agent-centric-development-cycle/features/context-augmentation.md): Sonar Context Augmentation injects deep, repository-aware context into your AI agent's workflow, guiding code changes with architectural awareness and project-specific coding guidelines. - [Agentic Analysis](https://docs.sonarsource.com/agent-centric-development-cycle/features/agentic-analysis.md): SonarQube Agentic Analysis enables AI agents to verify code changes with the same precision as a full CI scan, but in seconds instead of minutes thanks to a context collection mechanism. - [AI CodeFix](https://docs.sonarsource.com/agent-centric-development-cycle/features/ai-codefix.md): SonarQube's AI CodeFix feature offers AI-generated fix suggestions for issues found during your analysis. - [Remediation Agent](https://docs.sonarsource.com/agent-centric-development-cycle/features/remediation-agent.md): This page outlines the SonarQube Remediation Agent, built to help you fix and manage code issues and SCA dependency vulnerabilities found by SonarQube. - [AI Code Assurance](https://docs.sonarsource.com/agent-centric-development-cycle/features/ai-code-assurance.md): This section explains how to manage standards for AI-generated code, including the use of tools for Sonar’s AI Code Assurance in your SonarQube project. - [Autodetect AI Code](https://docs.sonarsource.com/agent-centric-development-cycle/features/autodetect-ai-code.md): SonarQube can autodetect the likelihood of AI-generated code in your projects on GitHub using GitHub Copilot. --- # 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, and the optional `goal` query parameter: ``` GET https://docs.sonarsource.com/agent-centric-development-cycle/features.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal. 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.