The .NET Pipeline That Makes Source Generators Feel Instant
Deep dive into .NET source generators, and understand how to design efficient pipelines that minimize recompilation and boost codegen performance.
Incremental Source Generators in .NET
In this post, I'll show you what Roslyn source generators are, why they're a massive improvement over old techniques, and how to build a simple, high-performance generator from scratch.
Testing HttpClient in .NET without Moq or NSubstitute
How to unit test HTTP clients in .NET without relying on mocking frameworks (Moq or NSubstitute) using DelegatingHandler.
A Pragmatic Guide to Server-Sent Events (SSE) in ASP.NET Core
Learn how to implement Server-Sent Events (SSE) in ASP.NET Core. Compare SSE vs WebSockets & SignalR, and apply scaling best practices.
Strategic Pagination Patterns for .NET APIs
Master offset, cursor, keyset, paged, time-based, and hybrid pagination patterns in .NET APIs to balance performance, consistency, and client experience.
What .NET 10 GC Changes Mean for Developers
.NET 10 GC tuning shows how stack allocations, DATAS, and region sizing cut allocations, improve latency, and reduce your cloud cost.
The Hidden Architecture Behind Fast and Reliable AI Prompts
Build conditional, parallel, dynamic, and stateful prompt pipelines in .NET with safety guardrails, faster latency, and testable design.
How to orchestrate multi-tool AI workflows in .NET
Build robust AI multi-tool workflows in .NET. Chain tools, add telemetry, cache results, and orchestrate multi‑step tasks with DI.
How to Correctly Build AI Features in .NET
Resilient .NET AI pipeline: unify chat, embeddings, tools, streaming, caching & telemetry with Microsoft.Extensions.AI. Swap models without rewrites.
The Practical .NET Guide to AI & LLM: Introduction
Model-agnostic guide to integrating LLMs in .NET — patterns, DI, provider abstraction, and security best practices. Start locally; avoid vendor lock-in.