Polyspace Agentic Toolkit brings trusted Polyspace verification directly into AI-driven development workflows, enabling your AI coding agents to automatically analyze C/C++ code. AI coding agents can interpret Polyspace findings, explain issues, and suggest fixes, turning analysis results into actionable improvements. You can also generate C/C++ tests from verified code scenarios, using Polyspace Test xUnit API, to extend coverage and leverage code coverage and test execution capabilities. All agent actions are grounded in trusted Polyspace capabilities, enabling reliability and control of AI-generated code, while integration with modern AI coding agents lets you incorporate these capabilities into your existing toolchain.
Let AI Coding Agents Run Polyspace Analysis
Enable AI coding agents to run Polyspace as You Code analysis on C/C++ files for checking code and reviewing findings. Guide AI coding agents with skills to manage checker configurations and build options with project-specific settings.
Close the Loop on Findings
Guide AI coding agents through analyze–fix–re-analyze workflows to help address defects and coding standard violations before code review or integration. Assist coding agents in adding formatted Polyspace justifications and using approved justification catalogs.
Create Unit Tests with Polyspace Test
Enable AI coding agents to generate C/C++ unit tests using the Polyspace Test xUnit API, streamlining test execution, code instrumentation, and code coverage collection.
Connect Agents Through MCP Tools and Skills
Enable AI coding agents to execute Polyspace commands and interpret Polyspace results using the Polyspace MCP Server. Polyspace specific skills can guide AI coding agents to support Polyspace configurations, access documentation, and manage Polyspace results. Built-in support provided for AI coding assistants such as Claude® Code, GitHub Copilot®, OpenAI® Codex, Gemini CLI®, and Sourcegraph Amp.
Polyspace Agentic Toolkit FAQs
Polyspace Agentic Toolkit enables AI coding agents to use Polyspace verification technologies within AI-driven software development workflows. AI agents can analyze code, review verification results, explain findings, suggest fixes, generate tests, and help improve software quality and compliance.
AI coding assistants can generate code quickly, but they do not verify software correctness. Polyspace Agentic Toolkit connects AI agents to proven software verification technologies so they can make decisions based on static analysis, coding standards, runtime verification results, and testing workflows rather than relying solely on LLM reasoning.
Polyspace Agentic Toolkit supports:
- Polyspace as You Code
- Polyspace Bug Finder
- Polyspace Code Prover
- Polyspace Test
AI agents can launch analyses, review findings, understand root causes, suggest fixes, justify findings, and generate or execute tests as part of verification workflows.
Yes. AI agents can access and interpret detailed verification results, including issue tracebacks, analysis context, numerical values, configuration information, and review metadata exposed through the Polyspace MCP Server. This helps agents understand findings and provide more accurate explanations and remediation suggestions.
AI coding agents can run Polyspace analysis on C/C++ files, check for coding defects and coding standard violations, manage checker configurations, and guide analyze-fix-re-analyze workflows.
Yes. AI agents can analyze AI-generated C and C++ code using Polyspace verification technologies to identify defects, coding-standard violations, security weaknesses, and runtime issues.
AI agents can use Polyspace to check compliance with coding standards and secure coding guidelines including:
- MISRA C/C++
- CERT C/C++
- CWE
- AUTOSAR-C++14
- Security and quality checkers supported by Polyspace
The toolkit can also help agents explain, fix, justify, and re-analyze findings as part of an automated workflow.
Yes. AI agents can use the Polyspace Test xUnit API to generate C/C++ unit tests, execute tests on-host and on-target, collect coverage information, and support analyze-fix-test-retest workflows.
Polyspace Agentic Toolkit provides built-in support for popular AI coding assistants, including GitHub Copilot, OpenAI Codex, Claude Code, Cursor, Gemini CLI, and Sourcegraph Amp.
Yes. The toolkit can help agents use Polyspace verification results related to secure coding guidelines and industry-recognized security standards, helping teams reduce software vulnerabilities earlier in the development process.
AI coding agents can manage checker configurations for coding standards, add formatted Polyspace justifications, and use approved justification catalogs to help address coding rules violations.
The toolkit enables verification-aware agent workflows where AI agents can:
- Analyze code
- Review findings
- Suggest or apply fixes
- Re-run verification
- Generate tests
- Validate software quality
This helps organizations establish reliable AI-assisted development processes with greater confidence, traceability, and software quality.
Yes. The toolkit helps teams apply software verification to AI-generated and human-written code used in regulated industries such as automotive, aerospace, defense, semiconductor, industrial, and medical systems. Verification results remain available for engineering review, compliance activities, and safety processes.
Polyspace Copilot assists software engineers working directly in Visual Studio Code by explaining findings and proposing fixes.
Polyspace Agentic Toolkit enables autonomous or semi-autonomous AI coding agents to perform verification activities, execute code analysis and testing workflows, interact with analysis results, and automate multi-step software quality processes.
Yes. Polyspace Agentic Toolkit is available as an open-source toolkit on GitHub. Some workflows require access to installed Polyspace products and the appropriate Polyspace licenses to execute analyses or access protected verification results.
The Polyspace Agentic Toolkit is available for download on GitHub at the MathWorks repository.
