> 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
Use SonarQube Cloud's AI features, including the Remediation Agent, AI CodeFix, and the Hunter Agent, to find and fix issues in your code.
SonarQube Cloud offers AI features for working through your issues: the SonarQube Remediation Agent, which proposes fixes as pull requests; AI CodeFix, which generates a fix for a single issue on demand; and the SonarQube Hunter Agent, which raises complex, logic-level vulnerabilities as issues you triage. These are part of Sonar's [Agent Centric Development Cycle](https://docs.sonarsource.com/agent-centric-development-cycle/).
## Remediation Agent
The SonarQube Remediation Agent runs an independent review and analysis, then proposes fixes in a new pull request for you to review. It works on issues found in your pull requests and on the backlog of issues in your main branch. To learn how the agent works, see [Remediation Agent](/agent-centric-development-cycle/in-your-long-living-branches-the-code-maintenance-loop/remediation-agent.md). To enable it for your organization, see [Administer the Remediation Agent](/sonarqube-cloud/administering-sonarcloud/ai-features/administer-remediation-agent.md).
The Remediation Agent requires a separate subscription to your SonarQube Cloud Team (annual) or Enterprise plan.
{% content-ref url="/pages/9vNPOGvpaHaMOcNJANde" %}
[Pull request fix suggestions](/sonarqube-cloud/managing-your-projects/issues/with-ai-features/pull-request-fix-suggestions.md)
{% endcontent-ref %}
{% content-ref url="/pages/BkwLX6gm79ZCI7Reb5F1" %}
[Backlog fix suggestions](/sonarqube-cloud/managing-your-projects/issues/with-ai-features/backlog-fix-suggestions.md)
{% endcontent-ref %}
### Agent activity
Every run of the SonarQube Remediation Agent is recorded in one place, whichever flow triggered it. To review the agent's activity, go to *Your SonarQube Cloud Project* > **Agent activity**. From there you'll see the agent's:
* Status/duration: Time the agent spent to generate fixes.
* Started: When the run was triggered. Runs start on a schedule, from **Fix with Agent** on the **Issues** page, from **Fix automatically** on GitHub, or from **Fix with Agent** in SonarQube Cloud for a GitLab merge request.
* Source: Where the agent is working. *Backlog fixes* means that the agent is working on issues found in your main branch; or a link will be provided to the branch where you first called the agent.
* Outcome: A link to the agent's pull request or GitLab merge request.
* Pull requests and merge requests made for *Backlog fixes* target your main branch. See [Backlog fix suggestions](/sonarqube-cloud/managing-your-projects/issues/with-ai-features/backlog-fix-suggestions.md) for details.
* Pull requests and merge requests made for *Pull request fixes* target your original branch. See [Pull request fix suggestions](/sonarqube-cloud/managing-your-projects/issues/with-ai-features/pull-request-fix-suggestions.md) for details.
## AI CodeFix
AI CodeFix generates a fix suggestion for an individual issue, which you review in SonarQube Cloud or open in your IDE. See [Getting AI-generated fix suggestions](/sonarqube-cloud/managing-your-projects/issues/fixing.md#getting-ai-generated-fix-suggestions) to use it, and [AI CodeFix](/agent-centric-development-cycle/in-your-long-living-branches-the-code-maintenance-loop/ai-codefix.md) to learn how it works.
## Hunter Agent
The SonarQube Hunter Agent runs a deep AI-powered analysis to find vulnerabilities that require human-like understanding of the code, such as broken access control and business-logic flaws, then raises them as issues you triage like any other. To learn how the agent works, see [Hunter Agent](/agent-centric-development-cycle/in-your-long-living-branches-the-code-maintenance-loop/hunter-agent.md). To enable it for your organization, see [Hunter Agent (administration)](/sonarqube-cloud/administering-sonarcloud/ai-features/hunter-agent.md).
The Hunter Agent is a product that requires a separate subscription to your SonarQube Cloud Enterprise plan.
{% content-ref url="/pages/ERCfr5hb5fcaktH0xT8n" %}
[Hunter Agent findings](/sonarqube-cloud/managing-your-projects/issues/with-ai-features/hunter-agent-findings.md)
{% endcontent-ref %}
---
# 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 by asking a question.
Perform an HTTP GET request on the following URL with the `ask` and `goal` query parameters:
```
GET https://docs.sonarsource.com/sonarqube-cloud/managing-your-projects/issues/with-ai-features.md?ask=&goal=
```
`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is what the user is ultimately trying to achieve, the reason they need the answer. Sharing it helps GitBook give you a better, more relevant answer. A goal is most helpful when it describes the outcome the user wants rather than restating the question. For example, with `ask=how do I create an API token`, a goal like `automate deployments from our CI pipeline` lets GitBook tailor the answer to that use case.
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.