How to Integrate AI Code Fixing into CI/CD Workflows

You’ve shifted left. Your pipelines are full of scanners. And still, code with known vulnerabilities ends up in production. Sound familiar? It’s because scanning alone isn’t enough — fixing vulnerabilities needs to be just as automated as finding them. That’s where AI code fixing fits into your CI/CD pipeline. This article shows you how to embed tools like Mobb into your development workflow so you can catch issues early and fix them instantly — without slowing down releases.

Why Fixing Code Inside CI/CD Matters

CI/CD is built for speed — but most remediation processes are slow and manual. The result?

• Vulnerabilities sit in backlogs instead of getting fixed
• Devs ignore scanner output because it lacks actionable guidance
• Security reviews become bottlenecks

AI code remediation fixes this by becoming a native part of your pipeline — delivering secure, triaged fixes before code ever hits production.

Related: Secure Your Codebase at the Speed of Development

Where to Insert AI Code Fixing in Your Pipeline

Here’s where tools like Mobb typically integrate:

1. Post-SAST Scan (Pre-PR or Pre-Merge)
   • Mobb ingests results from your SAST tool (e.g. Checkmarx, Fortify, Snyk, SonarQubem, Semgrep, Opengrep, etc.)
   • Filters out false positives
   • Applies deterministic fixes before the code is merged
2. Pull Request Remediation
   • Mobb works directly in your PR
   • Developers see the suggested fix inline
   • No context-switching required
3. CI/CD Pipeline Integration
   • Configure Mobb as a step after SAST scanning
   • Fixes applied automatically or gated for human review
   • Integrates with GitHub Actions, GitLab CI, and others

CI/CD Integration with Mobb: How It Works

Mobb was designed to be frictionless for both security and engineering teams. Here’s how Mobb fits into a typical secure dev pipeline:

• Receives findings from your existing SAST
• Auto-triages results to reduce noise
• Generates secure fixes backed by deterministic logic
• Applies the fix in a pull request, dev branch, or main
• Logs remediation for audit and compliance tracking

Need a closer look? Explore Mobb’s Docs.

Best Practices for Seamless Integration

• Start small. Begin with one repo or team to validate the workflow
• Automate triage first. Reducing false positives builds developer trust
• Gate fixes if needed. Set review rules for critical environments
• Align with release cycles. Time fixes to avoid disrupting deployments
• Measure MTTR. Track reduction in fix time and use it to prove value

Related: The Ultimate Toolkit for Reducing False Positives in Static Code Analysis.

Security Without Slowing Down

CI/CD is only as secure as the code it lets through. Without automated remediation, vulnerabilities sneak past scanners and slow down your team later. By embedding AI code fixing directly into your pipeline, you stay secure by default — no added steps, no extra tickets.

Want to see how fast this can work? How One Team Fixed Thousands of AI-Created Vulnerabilities in a Week.

Conclusion: Ship Fast. Fix Instantly. Repeat.

Security isn’t a separate step anymore. With Mobb, it’s built into the code delivery process. Integrating AI code fixing into your CI/CD workflow helps you eliminate risk early, cut remediation time, and free up your security team to focus on the hard stuff — not triaging tickets.

See how it fits into your pipeline. Try Mobb for free today