To create a safe and reliable software you need high quality code, regardless of what its source is, whether it’s developed by an AI or by a developer.
Sonar AI Code Assurance is a process for validating AI-generated code through a structured and comprehensive analysis. This way, developers will be assured that every new code they write meets the highest standards of quality and security before it goes into production.
Sonar AI CodeFix is a function that provides code corrections for issues detected by the SonarQube server and SonarQube cloud code analysis solutions. By performing this automation Sonar AI CodeFix significantly increases the speed and productivity of developers.
Solutions help teams fix and improve AI-generated code. Here’s how:
Solves unique code quality challenges as a result of combining AI and human code.
Scans and detects code errors and vulnerabilities, even deep-layer issues.
It acts as a guide to troubleshooting code issues both in the IDE and within your DevOps workflow.
Perform powerful static code analysis with thousands of rules for over 30 languages.
Integrated review and reporting workflows provide code assessments with useful information for correction.
Includes Quality Gates that enforce quality standards, blocking unproduction-ready merges and implementations.
Get to know the complete Sonar solution to help you generate quality code, either through a developer or generative AI:
Plugins allow you to extend functionalities or integrate other tools with SonarQube server and SonarQube cloud.
Jira integration with SonarQube or SonarCloud. The quality of the code in a Jira panel/gadget and the possibility to create tasks in Jira based on the issues detected.
Confluence integration with SonarQube or SonarCloud. Add quality information of your code in the pages of your project spaces.
Bitbucket integration with SonarQube or SonarCloud. all the information in Bitbucket, so users don’t have to change their context.