Production-Grade .NET.
Real Agentic AI.
The foundation code you'd write yourself — already written, tested, and documented. Built by a Senior .NET Systems Architect with 15+ years of production experience. Not a wrapper around ChatGPT. A real agent framework.
Most AI Starter Kits
Are Demo-Ware
Poorly Architected
Most "AI starter kits" are single-project console apps with everything in one file. No separation of concerns, no dependency injection, no testability. Fine for a tutorial. Useless for production.
Undocumented
No architecture docs. No API reference. No extension guide. You spend more time reverse-engineering the codebase than actually building on top of it.
Abandoned After Launch
The repo hasn't been updated in 8 months. Issues pile up unanswered. Dependencies are outdated. The "starter kit" is now a liability you have to maintain yourself.
Just a ChatGPT Wrapper
They call it "agentic AI" but it's a REST API that forwards prompts to OpenAI and returns the response. No tool calling, no multi-step reasoning, no autonomous workflows. Not an agent.
Built by a .NET Architect.
15+ Years of Production Code.
Production-grade .NET applications with real agentic AI. Clean Architecture. Documented extension points. Real tests.
Every product is built the way a senior architect would build it — because one did. Proper project structure, dependency injection, CQRS where appropriate, abstracted AI providers, comprehensive documentation, and test coverage. This is the foundation you'd spend months building yourself.
Clean Architecture.
Not Spaghetti.
The Stack You Already Know.
With AI That Actually Works.
Backend
ASP.NET Core, Entity Framework Core, PostgreSQL / SQL Server, MediatR, FluentValidation. Standard .NET patterns your team already uses.
Frontend
Blazor Server + WebAssembly hybrid rendering. Interactive UI components, real-time updates via SignalR, responsive design. No JavaScript framework required.
AI Layer
Semantic Kernel for agent orchestration. Microsoft.Extensions.AI for LLM abstraction. Tool calling, multi-step reasoning, autonomous workflows. Swap providers via config.
Don't Take Our Word For It.
Check the Evidence.
Test Coverage
Unit tests for business logic and AI behaviors. Integration tests for APIs and database operations. Documented testing patterns for your extensions.
Documentation
Architecture decision records. API reference. Extension guides. Deployment documentation. Not a README with "TODO: add docs."
NuGet Track Record
Our Blazor packages have 7,800+ downloads on NuGet. Real developers use our code in production. The engineering quality is proven and public.
Active Maintenance
Regular updates, dependency upgrades, and new features. We don't launch and abandon. Regular releases on NuGet with semantic versioning and changelogs.
Clean Architecture
Proper separation of concerns. Domain layer independent of frameworks. Testable without infrastructure. The patterns that scale.
15+ Years of .NET
Built by a Senior Systems Architect who has shipped .NET code for financial services, healthcare, and SaaS. Not a weekend project.
Blazor Tools on NuGet
Proof of Engineering Quality
Our open source packages are used in production by developers worldwide. The same engineering standards go into every product we build.
Technical Questions
Developers Ask
What architecture pattern do these products use?
Clean Architecture with clear separation of concerns. Domain layer, application layer with MediatR, infrastructure with EF Core, presentation with Blazor. Dependency injection throughout, CQRS where appropriate.
What AI framework is used?
Semantic Kernel and Microsoft.Extensions.AI. The architecture abstracts the LLM provider — swap between OpenAI, Azure OpenAI, Anthropic, or local models without changing business logic.
Can I swap the LLM provider?
Yes. The AI layer is abstracted behind interfaces. Swap from OpenAI to Azure OpenAI, Anthropic Claude, or a local model by changing configuration — no code changes to agent logic required.
Is there test coverage?
Yes. Unit tests for business logic and AI agent behaviors, integration tests for API endpoints and database operations, and documented testing patterns for extending coverage.
What .NET versions are supported?
.NET 10 (latest). The modular architecture makes upgrading straightforward. NuGet dependencies are kept current with regular updates.
How is this different from a template?
Templates give you project structure with TODO comments. Our products are functional applications with working AI agents that handle real tasks on day one. You're buying months of development work, not scaffolding.
Ready to Skip the Scaffolding?
Production-grade .NET source code with real agentic AI. Clean Architecture, documented, tested. Start building on a real foundation.
Full source code. Clean Architecture. 12 months of updates included. No vendor lock-in.