This project positions AI not as an "overhead," but as a true "engineering partner," automating complex analysis processes end-to-end.
Key Capabilities:
✅ Provider Agnosticism: Seamlessly switch between Gemini 2.5 Flash and Groq (Llama 3.3) without altering your system core.
✅ Null Mode (Uninterrupted Operation): Ensures your system remains stable and development never stops, even if an AI provider experiences downtime.
✅ Autonomous Agency: Provide your project’s root directory; the agent scans your code, audits architectural boundaries, identifies errors, and generates an enterprise-grade report.
✅ Local Performance: Uses a high-performance, SQLite-based "Corporate Memory" (RAG) layer instead of complex, expensive cloud-based vector databases.
Technical Stack:
🔹 Backend: .NET 10 & Microsoft.Extensions.AI
🔹 Frontend: Angular 19 & Tailwind CSS (Cyber-Dashboard)
🔹 Orchestration: Semantic Kernel
🔹 Architecture: Dual-Engine Topology (Gemini & Groq Integration)
If you are interested in "clean code," autonomous efficiency, and AI-driven architectural analysis, you can explore the source code on GitHub:
👉 https://github.com/muratsuzen/dotnet-ai-lab
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