Many long-lived .NET repositories did not start with semantic versioning. They grew up with major.minor.build.revision, often set in AssemblyInfo.cs, sometimes mixed with wildcard auto increment, sometimes duplicated …
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ASP.NET Core applications are usually released often enough that versioning stops being a documentation concern and turns into delivery infrastructure. Once an application moves through CI, staging, production, …
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Desktop software makes versioning visible in a way that web systems often do not. A backend can hide a surprising amount of release machinery behind its platform. A Windows executable cannot. Explorer exposes file …
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Versioning stays invisible right up to the point when it fails. A package has to be reissued, a support case depends on one exact binary, or staging and production turn out to run artifacts from the same commit that do …
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Distributed applications tend to feel straightforward until a real cloud dependency enters the picture. Azure Cosmos DB is a good example. In Azure, the preferred model is usually clear: the application should connect …
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MiMo V2.5 is the latest reasoning and coding model from Xiaomi’s AI lab. Xiaomi positions MiMo as a general-purpose reasoning model with particular strength in code generation, structured output and tool calling. In May …
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GitHub Copilot’s pricing shift from flat premium request units to token-based GitHub AI Credits, scheduled for June 1, 2026, changes the economics of heavy AI usage in VS Code meaningfully. Models with large context …
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GitHub Copilot is moving into a different cost model. GitHub announced that Copilot plans will transition from premium request units to GitHub AI Credits on June 1, 2026. Usage will be calculated from token consumption, …
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Frontend development often hits a practical wall early: the backend API does not exist yet, is unreachable in local environments, or is shared between multiple teams and cannot be safely modified during development. The …
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Cloudflare Workers can separate production and preview traffic cleanly without sacrificing canonical URL control. For search visibility, that detail matters more than the mere existence of preview links. The production …
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Azure Static Web Apps has one feature that is easy to underestimate until a team starts using it seriously: pull requests can behave like first-class deployment units.
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GitHub is an operational platform, not a backup strategy. For a long time, that distinction often felt theoretical because GitHub is - usually - highly available and because Git itself already distributes history well. …
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Testing in .NET has historically been associated with VSTest. That choice was reasonable for a long time because VSTest offered broad tooling support, deep IDE integration and a familiar execution model for MSTest, xUnit …
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GitHub Copilot custom agents allow teams to define specialized AI assistants, each with its own role, tool access and behavioral boundaries. Instead of relying on one general-purpose assistant for everything, a team can …
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Publishing NuGet packages has traditionally required one uncomfortable compromise: a long-lived API key had to exist somewhere in the delivery pipeline. Even when that secret was stored in a secure CI system, the model …
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After many years of workarounds, design discussions and library-level substitutes, unions are finally becoming a first-class part of C#. The proposal in the C# language repository is no longer a distant idea. With the …
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C# is a powerful language, but there is one road it has not yet fully paved: native discriminated union types. Developers have been working around this absence for years, typically choosing between throwing exceptions …
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When building cloud-native .NET applications, two goals often matter at the same time: a fast local development loop and a clean path to real Azure resources for publish mode. .NET Aspire with Azure Cosmos DB supports …
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The .NET team just released the first preview of .NET 11 and there is already a lot to talk about. While this is an early preview - not a release candidate - the breadth of changes touching the runtime, libraries, …
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Large language model agents can appear intelligent while still producing unstable output across runs, contexts and tasks. In practice, this instability is rarely caused by model quality alone. The dominant factor is …
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