Modern AI coding agents are powerful software development assistants that can comment, create, and refactor code, as well as generate test cases. However, without proper grounding, AI coding agents can be inconsistent, costly, and unreliable for critical embedded software development. That’s where Polyspace Agentic Toolkit comes in.
Bringing Deterministic and Trusted Static Analysis and Testing into Agentic Workflows
Polyspace Agentic Toolkit extends AI coding agents with deterministic and trusted Polyspace verification capabilities, enabling them to analyze, test, and improve C/C++ code automatically. At its core, the toolkit connects agents (such as Codex, Copilot, or Claude) to Polyspace as You Code and Polyspace Test through the Model Context Protocol (MCP) and a catalog of reusable skills and tools. The skills provide knowledge and expertise to the agent to interact efficiently with Polyspace products, while tools provide optimized access (i.e., using the right command, API calls) to Polyspace products.
From Analysis to Autonomous Fixes
What makes this workflow compelling is not just analysis with Polyspace products, it’s closing the loop with code fixes and re-analysis or re-test. Using Polyspace Agentic Toolkit, an agent efficiently completes tasks related to Polyspace products, such as:
- Quickly and easily run Polyspace as You Code on C/C++ files.
- Identify coding defects and standard violations, such as MISRA.
- Generate fixes and re-run analysis until issues are resolved.
The toolkit in GitHub helps you get started quickly with various workflows. It supports a continuous analyze → fix → validate loop, effectively turning an AI coding assistant into a verification-aware developer. You can prompt the AI with requests such as:
- “Make this file compliant with a coding standard.”
- “Fix these findings.”
- “Check that my changes are compliant.”
Automating Verification and Test Generation
Beyond static analysis, the toolkit also integrates with Polyspace Test workflows. Agents can generate unit tests based on the Polyspace Test xUnit framework, helping improve code coverage and validate meeting requirements. You can use agents to perform various actions to move testing close to a fully automated, agent-driven pipeline with tasks such as:
- Diagnose root cause of code defects
- Create failing test cases to expose defects
- Fix code and re-run tests to verify
The Bigger Picture: Agentic Verification
Polyspace Agentic Toolkit is more than a feature; it represents a shift toward agentic verification workflows.
Instead of:
- Running tools manually
- Interpreting results manually
- Fixing issues manually
You enable agents to:
- Execute analysis
- Assess findings
- Apply fixes
- Validate outcomes
