AI Code Fixing: Secure Your Codebase at the Speed of Development

AI-assisted development is reshaping how software is written — but what about how it’s secured? As developers move faster with tools like GitHub Copilot and Cursor, vulnerabilities are introduced just as quickly. Traditional remediation methods can’t keep up. That’s where AI code fixing comes in. This guide explores how AI-powered remediation tools like Mobb are changing the game, enabling teams to fix vulnerabilities automatically, reduce security backlogs, and deliver secure code at the speed of development.

What Is AI Code Fixing?

AI code fixing is the process of automatically remediating code vulnerabilities using intelligent tools integrated into your CI/CD pipeline or dev workflow. Unlike static analysis tools that simply flag issues, AI code fixing solutions go a step further: they suggest or apply secure fixes — reducing the time between detection and resolution from days to seconds.

🔗 Already using SAST? Learn how AI auto-remediation tools keep up with vibe coders.

Why Traditional Remediation Can’t Keep Up

Security teams are under pressure to manage massive vulnerability backlogs. Developers, meanwhile, are shipping features at unprecedented speed — especially with the rise of AI-generated code.

The result?

• Thousands of unresolved SAST findings
• Missed SLAs and mounting tech debt
• Developers ignoring alerts due to false positives
• Insecure code making it to production

For more on this, see our article: Why False Positives Hurt DevSecOps (and What You Can Do).

The Role of AI in Fixing Code — Not Just Writing It

AI code fixing flips the script by reducing the burden on both developers and AppSec teams:

• Triage faster: Filter out false positives and low-priority issues automatically
• ‍Remediate in place: Fix vulnerabilities directly in the PR or main branch
• ‍Preserve developer velocity: Avoid unnecessary context switching
• ‍Scale securely: Keep up with high volumes of AI- or human-written code

With Mobb, security fixes happen natively inside your repositories — so your team stays in flow while staying secure.

Common Use Cases for AI Code Fixing

1. Clearing your SAST backlog
Automatically fix vulnerabilities flagged by your SAST tools (e.g., Checkmarx, Fortify, Snyk) without needing manual review of every alert.

2. Securing AI-generated code
Whether code is written by Copilot, ChatGPT, or Cursor, Mobb helps you fix the real issues that AI assistants might miss — or introduce.

3. Complying with security frameworks
AI code fixing helps meet compliance goals for PCI DSS, SOC 2, and Executive Order 14028 by proving that secure fixes are consistently applied.

Want to understand the risks of AI-written code? See: Secure by Default: How to Make AI Code Generation Safe in Production.

How Mobb Enables Effective AI Code Fixing

Mobb’s deterministic approach to remediation ensures security fixes are reproducible, accurate, and safe — no AI hallucinations or guesswork. Here’s how it works:

• Scans your codebase using your existing SAST
• Automatically triages findings to eliminate noise and focus on real risk
• Applies safe code fixes directly in your repo or pull request
• Supports hybrid workflows, so teams using AI-generated or human-written code benefit equally
• Delivers CI/CD-ready integration, reducing MTTR and backlog without bottlenecks

Explore real-world usage in: How One Team Fixed Thousands of AI-Created Vulnerabilities in a Week.

Benefits of AI Code Fixing for AppSec and Dev Teams

For Developers:

• No more chasing down tickets
• Fix code inline, without leaving your IDE or PR
• Maintain velocity while improving security

For AppSec Teams:

• Eliminate tech debt faster
• Hit SLAs and reduce MTTR
• Prove remediation for audits and compliance

For Engineering Leaders:

• Scale security across multiple teams
• Reduce reliance on manual triage
• Unlock faster release cycles without increasing risk

Related Articles to Explore

• The Complete Guide to AI-Powered Code Remediation
• 5 Problems AI Code Fixing Solves for AppSec Teams
• How to Integrate AI Code Fixing into CI/CD Workflows
• From False Positives to Fixed Code: AI’s Role in SAST Triage
• What Is Vibe Coding? A Guide to the AI-Driven Developer Workflow

Conclusion: The Future of Remediation Is Now

The shift to AI-generated code demands a new kind of security — one that’s just as fast, intelligent, and scalable. With tools like Mobb, AI code fixing isn’t just possible — it’s practical. Whether you’re battling false positives, buried in a SAST backlog, or adopting vibe coding practices, Mobb helps your team fix issues instantly, automatically, and at scale.

🔧 Ready to fix vulnerabilities as fast as you find them? Try Mobb for free today.