Technical series
Explore the technologies changing how we build software—and the design decisions that make them useful. Architecture, implementation, and developer practices for teams working with cloud systems and AI.
Read & apply
Written guides with runnable C#, Python and TypeScript examples. Each code companion includes beginner setup, debugging instructions and tests. Start with the decision your team is facing.
AI in application systems
Compare a model call, a retrieval workflow, and a tool-using agent. Make cost, evidence, and control part of the design from the start.
Agent tools & integration
A developer's guide to MCP, narrow tool contracts, permissions, and handling an uncertain write without repeating it.
Systems & solution architecture
Work through boundaries, data ownership, and deployment choices using an illustrative booking system. Extract a service when the trade-off is justified.
Developer practice & delivery
A practical developer workflow for giving AI useful context, reviewing changes, evaluating model behaviour, and releasing with evidence.
Reliable .NET integrations
A practical walkthrough of rate limits, account-access errors, and retry decisions in a modular .NET integration layer.
Architecture for business software
How to separate a preview, a reviewed decision, and a posted result in business software, using an anonymized workforce workflow example.
On the recording list
Planned video topics. The written guides above are available now; these recordings are not yet published.
Source access, missing evidence, model selection, and an evaluation set.
Typed inputs, authorization, tool results, and a controlled write operation.
Correlation, retries, OpenTelemetry, and deployment checks for a .NET service.
From learning to delivery
Bring an integration problem, an AI use case, or an architecture decision your team needs to resolve.