Automating low value tickets with CI Pipelines : Sonarqube reports + AI agents.

This proposal aims to automate resolution of low-severity SonarQube issues by using AI to generate code fixes, validate them with automated tests, and create pull requests for human review. The workflow includes static analysis, issue filtering, AI-powered patching, automated testing, and pull request automation for efficient codebase maintenance.

zakaria slimaneWIRKY

talkDetail.whenAndWhere

Wednesday, November 12, 18:35-18:50

L'oranger

talks.description

Automate trivial SonarQube issues by delegating low-severity tickets to an AI agent, running automated tests, and creating pull requests for human review :
- Automated SonarQube Scanning: Run static analysis on codebase.
- Issue Filtering: Extract low-severity issues via configurable rules.
- AI-Powered Fixes: Generate and apply patches using an AI agent.
- Automated Testing: Validate fixes with existing unit/integration tests.
- Pull Request Automation: Create branches and PRs summarizing fixes.

automation

testing

sonarqube

talks.speakers

zakaria slimane

WIRKY

Morocco

A software developer with devops and cloud focus , shifting toward a DevOps-focused role.

I don’t just write code—I automate deployments, improve scalability, and solve complex technical challenges.

comments.title

comments.speakerNotEnabledComments