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Optimising DAX: Data Materialisation
Data materialisation is when the storage engine gives up on efficient processing and rebuilds the entire table. This post explains what trigge...
Building API Reference Documentation From Code, Part 2: Under the Hood
A deep dive into the cross-assembly linking, PDB-based source links, TFM scanning, enrichment merging, and search indexing that power our API ...
Building API Reference Documentation From Code, Part 1: The Pipeline
We generate about 8,800 API reference pages from 16 libraries across two engine versions, with source links, TFM availability badges, and hand...
Writing Effective Copilot Instructions for Complex Codebases
A flat copilot-instructions.md works for small projects. When your codebase hits 500k lines, 19 projects, and multiple code generators, you ne...
Optimising DAX: The Formula Engine and Storage Engine
When you execute a DAX query, two engines divide up the work. Understanding the split between the formula engine and the storage engine is key...
Your Cloud AI SLA Tells You Less Than You Think
Traditional cloud SLAs measure API uptime, not behavioural stability. This post talks about how silent AI model drift can quietly break your a...
Trying Out WSL Containers: Microsoft's Built-In Alternative to Docker Desktop
Microsoft's new WSL Containers (wslc) promises container management on Windows without Docker Desktop. I tried it with dev containers, Aspire,...
AsyncAPI Code Generation with Corvus: Custom Transports
Implement a custom IMessageTransport for brokers not covered by the built-in packages - PublishAsync, SubscribeAsync, RequestAsync, dead-lette...
AsyncAPI Code Generation with Corvus: Testing
Test Corvus-generated AsyncAPI producers and consumers without a running broker - unit test handler logic with typed payloads, verify producer...
AsyncAPI Code Generation with Corvus: Filtering
Generate producers and consumers for only the channels you need - use channel filtering, tag selection, and the asyncapi-show preview command ...