Series
Some topics read better in order. Guided paths through the deeper subjects here: the Model Context Protocol, the .NET platform, testing, and data.
- Model Context Protocol — From first principles to building real servers and tools: a guided path through everything MCP.
- Testing & Quality — Building software you can trust: unit, integration, and architecture tests, plus AI-assisted testing, in order.
- Data & Databases — Modeling, querying, and scaling data, from relational design to vector search and Azure Cosmos DB.
- The .NET Platform — A guided path through modern .NET: the runtime, the framework, and the patterns that hold up in production.
- Secure agent ops
- Portable agent stacks
- Production Databricks Notes — Architecture decisions, investigations, and implementation patterns for data and AI systems that must operate beyond the demo.
- SOC 2 — What a SOC 2 examination asks of an engineering team, and how to build the evidence trail before the observation window opens.
- Dependency policy in the agent era