Your Collaborative AI Coding Assistant
Enhance the power of Perforce Static Analysis with AI and optimal shift-left.
From Findings to Fixes — 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. Perforce Static Analysis keeps the momentum at full throttle while relieving demands on your team. Our solution improves velocity by combining the deep, inter-procedural analysis of Perforce QAC and Perforce Klocwork 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 highly accurate, compliant code corrections that are grounded in a precise understanding of how your code actually behaves.
3. Review, Refine, Approve
Every fix 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.
Get Accurate, Compliance-Ready Results in More Efficient, Cost-Effective Workflows.
Key Benefits of AI-Assisted Code Remediation
Carnegie Mellon University research shows vulnerability resolution accuracy from 20-30% when AI operates alone to 72-90% when enriched with static analysis data about the defect. AI-assisted code remediation automates fixes and re-analysis, improves accuracy, and speeds up development by reducing human error in applying the fixes.
Powered by QAC and Klocwork’s inter-procedural dataflow analysis, every fix suggestion is grounded in a precise, context-rich understanding of your codebase. Recommendations are not generic — they are tailored to your specific code, your compliance standards, and the exact nature of each finding.
In functional safety and security-critical development, trust is key. Human-in-the-loop approvals ensure that developers retain full ownership of every change. 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.
Delivered via the Perforce Static Analysis MCP server, any MCP-compatible host can connect and apply 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. We fit into your environment, not the other way around.
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.
Whether your code is human-written or AI-generated, in-phase detection and 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 assistant fits into Perforce Static Analysis.
See AI-Assisted Code Remediation in Action
Custom Demo
Set up AI remediation in your own environment: Request a custom demo to understand how your team will move from detection to intelligent resolution in a single, guided workflow.
On-Demand
Or, access our demos on-demand to see how the AI-assisted code remediation helps speed up development in both Perforce Static Analysis tools. Klocwork brings AI-assisted code remediation to enterprise-scale security and DevSecOps workflows, while QAC pairs unmatched analysis depth with AI-assisted code remediation for safety-critical environments.
Get Started Today
See how AI-powered workflows accelerate remediation in real development environments. Sign up for your free trial.
Still Have Questions?
Have questions? We’re here to help! Contact us or explore the FAQs below.
Perforce Static Analysis AI-Assisted Code Remediation 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 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 assist agent supporting MCP.