Your Collaborative AI Code Analysis Tool
Enhance the power of Perforce Static Analysis with automated code remediation and optimal shift-left development.
From Vulnerability Detection to Automated Remediation — Faster
As code volume grows and AI-generated software becomes the norm, the task of finding and fixing issues is growing just as quickly — putting unprecedented pressure on developers. Our solution relieves team demands by combining the deep, inter-procedural analysis of Perforce QAC and Perforce Klocwork to remediate vulnerabilities with AI-powered fix suggestions that are accurate, context-aware, and developer-approved before anything else enters your codebase.
1. Write and Analyze
As you code, our tools run incremental analysis in the background — instantly surfacing coding errors, standards violations, and security vulnerabilities.
2. Receive Intelligent Fixes
Instead of spending hours researching a resolution, the integrated AI assistant analyzes each found defect using deep contextual data from QAC or Klocwork and suggests compliant, automated vulnerability remediation suggestions grounded in a precise understanding of how your code actually behaves.
3. Review, Refine, Approve
Every remediation suggestion requires explicit developer approval before it is applied. Use interactive chat features available in GitHub Copilot or other conversational assistants to fine-tune suggestions as needed. Human-in-the-loop oversight is built-in.
Accurate, Compliance-Ready Results in More Efficient, Cost-Effective Workflows: Key Benefits of AI Code Analysis Tools
Accuracy You Can Rely On
Boost Code Remediation Accuracy from 20% to over 70%
Carnegie Mellon University research shows vulnerability remediation accuracy from 20-30% when AI operates alone to 72-90% when enriched with static analysis data about the defect. Automated remediation automates fixes and re-analysis, improves accuracy, and speeds up development by reducing human error in applying the fixes.
Automated remediation executes fixes and immediately re-analyzes the changes, improving accuracy and speeding up development by reducing human error in applying fixes.
Maintain Compliance
Built for Safety-Critical Environments
In functional safety and security-critical development, trust is key. Human-in-the-loop approvals ensure that developers retain full ownership of every suggestion to remediate vulnerabilities. Compliance-ready reports are automatically generated, making it safer and easier to demonstrate regulatory adherence while still capturing the benefits AI brings to development teams.
Speeds Up, Costs Down
Efficient and Cost-Effective by Design
AI-assisted code remediation only sends the information necessary to make the fix:
- Focused issue
- Source code required
- Fix instructions
- Documentation
- Trace info
That means you’ll use fewer tokens and only use AI tokens when needed — keeping costs low. Once your MCP environment is configured, teams easily move from findings to fixes using familiar workflows.
Work With Your Setup
Your LLM. Your IDE. Your Environment.
Delivered via the Perforce Static Analysis MCP server, any MCP-compatible host can connect and apply vulnerability remediations using its own configured LLM. Support for private, air-gapped environments means no data leaves your network. Use your already approved AI solution — no additional approvals required. Our static analysis AI remediation feature fits into your environment, not the other way around.
Improve Quality Earlier
Keep Pace With Accelerating Code Output
Whether your code is human-written or AI-generated, in-phase vulnerability detection and code remediation keeps quality manageable as complexity grows. Automated re-analysis runs after each proposed fix is generated, reducing human error and accelerating the path from detection to resolution.
How AI-Assisted Code Remediation Works for You
Follow along with this interactive demo to see how the AI code analysis software fits into Perforce Static Analysis.
See AI-Assisted Code Remediation in Action
Set up automated remediation in your own environment. See how AI-powered workflows accelerate remediation in real development environments. Sign up for your free trial.
Frequently Asked Questions
The AI-assisted code remediation feature streamlines workflows by providing even faster find-and-fix productivity, leveraging analysis results from Perforce Static Analysis solutions, QAC and Klocwork, to inform the suggested fixes. Browse our Frequently Asked Questions to learn how this feature can work for you and your team.
While our AI-assisted code remediation feature delivers very accurate fix proposals on account of the deep, context-rich information that is provided, it is still only a proposed solution and therefore maintains the developer-in-the-loop review and approval step.
You can choose to keep the proposed change, undo it, or use an interactive AI chat to suggest enhancements or alternative fixes.
Our MCP server allows you to access many AI Code Assist tools, while also leveraging their integrated chat capabilities.
Code reviews are still a key (and often mandatory) part of development best practices for any safety-and security-critical software project, but we help you do this faster.
While there is an out-of-the-box plugin for use with VS Code (across development platforms), the feature is MCP-based and therefore designed as an IDE-agnostic and Code-Assist tool-agnostic solution. It works with any AI code analysis tool supporting MCP.