10 Best AI Code Remediation Tools in 2025 (Ranked and Reviewed)

AI coding assistants like GitHub Copilot and Cursor have transformed how software is written — but not how it’s secured. As development velocity increases, so does the risk of vulnerabilities making it into production. That’s why a new category of tools has emerged: AI code remediation tools — solutions that don’t just suggest code, but actually help fix it.

In this guide, we review the 10 best AI code remediation tools in 2025. Whether you're looking to reduce your SAST backlog, automate PR fixes, or support secure AI-generated code, these are the tools you need to know — and why Mobb leads the pack.

1. Mobb (Best for Automated Security Remediation)

What it does:
Mobb automatically triages and fixes vulnerabilities. It integrates directly with your code repository and CI/CD workflows to remediate issues in real time — without slowing development.

Why it’s #1:

• Designed specifically for AppSec and security automation
• Applies safe, deterministic fixes inside GitHub/GitLab PRs
• Eliminates false positives and reduces MTTR
• Supports compliance frameworks (PCI, SOC 2, EO 14028)

Explore more:

• AI Code Fixing: Secure Your Codebase at the Speed of Development
• Real-World Results: Fixing AI-Generated Code at Scale

2. GitHub Copilot

What it does:
An AI coding assistant that suggests code completions as you type in your IDE.

Best for: Fast prototyping and developer productivity.

Limitations:

• Doesn’t triage or fix vulnerabilities
• Can introduce insecure code
• No SAST or security integration

Compare with: What Is Vibe Coding? A Guide to the AI-Driven Developer Workflow.

3. Cursor

What it does:
An AI-powered IDE with in-line chat for code generation and editing.

Best for: Solo developers and quick iteration.

Limitations:

• Lacks security or remediation features
• No integration with SAST or CI/CD tools

Related: How Auto-Remediation Tools Keep Up With Vibe Coders

4. CodeWhisperer (AWS)

What it does:
An Amazon tool that generates code based on natural language prompts.

Best for: AWS-native development workflows.

Limitations:

• Doesn’t remediate vulnerabilities
• Not built for SAST or security review

5. Tabnine

What it does:
A privacy-focused AI code assistant for autocomplete and suggestions.

Best for: Teams concerned with keeping code local/private.

Limitations:

• Doesn’t provide or suggest secure fixes
• No triage or security automation

6. Replit Ghostwriter

What it does:
An in-browser AI pair programmer built into Replit.

Best for: Lightweight, browser-based development.

Limitations:

• Doesn’t offer vulnerability remediation
• No integration with enterprise SAST tools

7. CodiumAI

What it does:
Generates unit tests and test cases using AI.

Best for: Test automation and QA teams.

Limitations:

• Not a remediation tool
• Doesn’t fix or triage vulnerabilities

8. Qodana (by JetBrains)

What it does:
Static code analysis tool with AI-based inspections.

Best for: JetBrains ecosystem developers.

Limitations:

• Requires setup and manual fix review
• Limited auto-remediation functionality

9. Snyk Code

What it does:
SAST scanner focused on developer-first vulnerability detection.

Best for: Shift-left security with custom rules.

Limitations:

• Highlights issues but doesn’t auto-remediate
• Fix suggestions require manual implementation

Related: Using AI to Automatically Triage and Fix SAST Findings

10. DeepCode (by Snyk)

What it does:
An AI-driven code analysis engine for finding bugs and vulnerabilities.

Best for: Teams already using the Snyk platform.

Limitations:

• Doesn’t directly apply fixes
• Focuses on detection over resolution

Why Mobb Leads the Pack

While many AI tools help you write or test code faster, Mobb is the only one on this list built specifically to fix security vulnerabilities automatically. It doesn’t guess. It doesn’t hallucinate. It delivers production-ready fixes that scale across teams — saving time, reducing risk, and accelerating secure development.

See how Mobb compares:

• AI Fix vs. Human Fix: Who’s Better at Securing Code?
• How to Integrate AI Code Fixing into CI/CD Workflows

Conclusion: Choose the Right AI Tool for the Right Job

AI code assistants are everywhere — but few actually help you ship secure software. If your priority is closing security gaps, reducing backlog, and automating fixes at scale, you need a remediation-first solution like Mobb.

🔧 Try Mobb for free and experience how secure, automated remediation should work. Start here