DandyDotnet.Serialization.Abstraction.NewtonsoftJson
10.1.0
dotnet add package DandyDotnet.Serialization.Abstraction.NewtonsoftJson --version 10.1.0
NuGet\Install-Package DandyDotnet.Serialization.Abstraction.NewtonsoftJson -Version 10.1.0
<PackageReference Include="DandyDotnet.Serialization.Abstraction.NewtonsoftJson" Version="10.1.0" />
<PackageVersion Include="DandyDotnet.Serialization.Abstraction.NewtonsoftJson" Version="10.1.0" />
<PackageReference Include="DandyDotnet.Serialization.Abstraction.NewtonsoftJson" />
paket add DandyDotnet.Serialization.Abstraction.NewtonsoftJson --version 10.1.0
#r "nuget: DandyDotnet.Serialization.Abstraction.NewtonsoftJson, 10.1.0"
#:package DandyDotnet.Serialization.Abstraction.NewtonsoftJson@10.1.0
#addin nuget:?package=DandyDotnet.Serialization.Abstraction.NewtonsoftJson&version=10.1.0
#tool nuget:?package=DandyDotnet.Serialization.Abstraction.NewtonsoftJson&version=10.1.0
DandyDotnet
- Official wiki
- API reference
- What is currently being worked on?
- What is DandyDotnet?
- Packages
- Package overview
- Is AI being used and if yes, how?
What is currently being worked on?
For an overview over the current work and state of releases, issues, features and bugs see:
- Release and milestone progress
- Release and milestone priorities
- Current work
- Label/category overview
What is DandyDotnet?
DandyDotnet is a family of opinionated packages that build on top of .NET Core and ASP.NET Core. Their goal is to implement design patterns or architectural paradigms and make the use of tech such as RabbitMQ easier. Some packages are more opinionated than others. The individual goals of each package differ. Consult their documentation for further information.
Aside from being available for everyone, this framework is a bundle of solutions that are commonly used by me (Nico1395).
Is AI being used and if yes, how?
Yes, AI is being used. I am not a very heavy AI-user. However there are tasks that I use and consult AI for. This section briefly summarizes how AI is used and why.
Unit tests are easily writable for AI. Especially if the tests are designed manually and then fed as an instruction to an agent. At least from my experience, frameworks such as this are a bit more easy to understand for an AI because the scope of the project is more clearly lined out. Real-world systems have more open ends as they have to deal with the uncertainty and endless possibilities of the real world.
SQL strings can sometimes differ from one database system to another. I am no SQL expert by any means. However AI is great at SQL and can write it much, much more efficiently than me.
Writing documentation, especially for a growing framework, is exhausting and quite boring. AI can help a lot in this department. However the formatting is usually all over the place, which is why documentation has to be iterated.
| Product | Versions Compatible and additional computed target framework versions. |
|---|---|
| .NET | net10.0 is compatible. net10.0-android was computed. net10.0-browser was computed. net10.0-ios was computed. net10.0-maccatalyst was computed. net10.0-macos was computed. net10.0-tvos was computed. net10.0-windows was computed. |
-
net10.0
- DandyDotnet.Serialization (>= 10.1.0)
- Newtonsoft.Json (>= 13.0.4)
NuGet packages
This package is not used by any NuGet packages.
GitHub repositories
This package is not used by any popular GitHub repositories.