Application architecture
Clear, maintainable paths through modernization, integration, desktop applications, and cloud delivery.
Software architecture · practical AI · team leadership
Chris Malpass
Practical AI | Senior .NET Developer | Software Development Team Lead | Consulting
I help teams build dependable .NET applications, use AI thoughtfully, and improve the systems around software delivery.
How I can help
Engineering that makes progress sustainable.
Practical AI engineering
Useful agent workflows, local and cloud models, RAG systems, evaluation, and responsible adoption.
Delivery and mentorship
Testing, observability, CI/CD, and the technical leadership habits that help teams ship with confidence.
Recent
AI
OpenRouter in .NET: Multi-Model Routing, Fallbacks, and Cost Controls
A friendly guide to choosing between AI subscriptions, direct APIs, and routing platforms. It then builds a well-behaved .NET 10 gateway with OpenRouter.
25 min read
Development
Introducing CLIF: Windows Desktop Automation for Scripts, Tests, and AI Agents
Meet CLIF, my open-source Windows automation CLI and local MCP server. Inspect WPF controls, script repeatable workflows, validate results, and give agents useful feedback.
16 min read
AI
Ollama Cloud vs Local vs Other Cloud Options for .NET Developers
An August 2026 snapshot for .NET developers comparing local Ollama, Ollama Cloud, and managed inference by limits, model choice, agent support, and measurable performance.
7 min read