Governance & Control Plane for AI-Assisted C/C++ Engineering
Control, verify, and govern AI-generated code with deep architectural intelligence, instant diffs, and Model Context Protocol (MCP).
AI Control & Verification
- ✓Advanced Baseline Diff
- ✓Rule & Compliance Gates
Deep Context & Insight
- ✓Architecture Visualization
- ✓Code Insight & Metrics Engine
AI Ecosystem Integration
- ✓MCP Server Support
- ✓Context-Aware Prompt Builder
01 — Control AI Changes
Advanced Baseline Diff
The AI Problem
AI assistants frequently touch files outside their intended scope, introduce subtle architectural drift, or break coding standards silently.
The CppDepend Solution
Compare current AI-generated code against your golden baseline in real time. Track exactly how AI impacts debt, dependency graphs, coupling, and complexity before merging.
02 — Instant Impact Mapping
Architecture & Design Visualizations
The AI Problem
Reading hundreds of lines of AI-generated refactoring code makes it hard to see structural consequences.
The CppDepend Solution
Instantly map AI modifications onto Dependency Structure Matrices (DSM), Treemaps, and Dependency Graphs to spot unwanted cycles or layer violations immediately.
03 — Deep Data Verification
Code Insight & Structural Metrics Engine
The AI Problem
AI code often looks clean on the surface but degrades maintainability metrics (e.g., high cyclomatic complexity, tight coupling, MISRA/CERT rule violations).
The CppDepend Solution
Inspect AI outputs using thousands of built-in metrics and custom CQLinq queries to ensure compliance with MISRA C/C++, SEI CERT, and C++ Core Guidelines.
04 — AI Integration
Model Context Protocol (MCP) Server
The AI Problem
AI LLMs hallucinate or write poor code because they lack full-repository context and structural awareness of your C/C++ codebase.
The CppDepend Solution
CppDepend acts as an official MCP Server, feeding precise AST data, dependency graphs, metrics, and architecture rules directly into LLM prompts (e.g., Claude, Cursor, Ollama/LangGraph pipelines) for context-aware code generation.
05 — Context-Aware Prompt Engineering
AI Prompt Builder
The AI Problem
Writing manual prompts that specify project architectural rules and design constraints is tedious and prone to omissions.
The CppDepend Solution
Automatically generate precise, context-rich AI prompts pre-populated with exact metric constraints, CQLinq rules, and structural context from your codebase.
Built for Developers, Architects and Executives
The same control plane speaks to every stakeholder of AI-assisted engineering.
| Feature | Developer Pitch | Executive / Architect Pitch |
|---|---|---|
| Baseline Diff | “See every structural change AI made in 5 seconds.” | “Prevent AI-induced technical debt and architectural regression.” |
| Visualization | “Visual proof that AI didn't break our component architecture.” | “Maintain strict system design integrity across AI-assisted teams.” |
| MCP Server | “Give your local AI models human-grade codebase context.” | “Maximized AI accuracy and reduced LLM hallucinations in C/C++.” |
| Prompt Builder | “Generate perfect prompts loaded with project rules automatically.” | “Standardized AI usage aligned with internal coding frameworks.” |
Take Control of AI-Generated Code
Download CppDepend and govern your AI-assisted C/C++ engineering with architectural intelligence.