C#
.NET
ASP.NET Core
Entity Framework Core
gRPC for .NET
Dapper
NuGet
MSBuild
OpenAPI
Swagger
SignalR
NUnit
Serilog
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Supported AI models on Workik
GPT 5.2, GPT 5.1 Codex, GPT 5.1, GPT 5 Mini, GPT 5, GPT 4.1 Mini
Gemini 3 Flash, Gemini 3 Pro, Gemini 2.5 Pro, Gemini 2.5 Flash
Claude 4.5 Sonnet, Claude 4.5 Haiku, Claude 4 Sonnet, Claude 3.5 Haiku
Deepseek Reasoner, Deepseek Chat, Deepseek R1(High)
Grok 4.1 Fast, Grok 4, Grok Code Fast 1
Models availability might vary based on your plan on Workik
Features
Generate XML Docs
AI produces accurate XML documentation for classes, methods, and interfaces, reducing manual commenting time.
Document ASP.NET APIs
Controllers, routes, DTOs, validation rules, and response models are extracted by AI to produce clear REST API documentation.
Explain Business Logic
AI interprets service-layer logic, conditionals, and side effects to document intent and runtime behavior clearly.
Code Flow Breakdown
Use AI to convert async workflows, LINQ chains, and logic branches into structured, step-by-step flow explanations.
TESTIMONIALS
Real Stories, Real Results with Workik
"“Our team relies on Workik AI for documenting microservices. It generates consistent API docs, DTO explanations, and controller summaries across all projects."
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Maya Chen
Software Architect
"As a junior dev, Workik AI helps me learn fast. The AI breaks down complex LINQ queries and service logic into clear, easy-to-understand explanations."
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Lucas Bennett
Junior C# Developer
"The clarity Workik AI brings to interfaces, models, and dependency graphs is invaluable. It’s now a core part of our .NET code review workflow."
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Sandra Patta
Lead .NET Engineer
What are the most common use cases for a C# and .NET documentation generator?
Developers use AI-powered documentation tools for a wide range of practical, everyday .NET tasks, including but not limited to:
* Generating XML comments for classes, methods, and interfaces instantly.
* Documenting ASP.NET Core APIs with clear routes, DTOs, & response summaries.
* Explaining complex business logic and LINQ pipelines in readable language.
* Breaking down async workflows, service calls, and branching logic.
* Mapping entities, models, and DTO transformations with concise descriptions.
* Creating quick usage examples for methods, services, and repository calls.
* Summarizing microservices, background workers, and message-handling flows.
Can the AI generate documentation for large and multi-project .NET solutions?
Yes. Workik AI can document large monoliths and multi-project .NET solutions by analyzing folder structure, namespaces, and cross-project references. For example, if you have a multi-layered architecture with Web API → Service Layer → Repository Layer across multiple projects, AI can generate documentation for each layer while maintaining consistency in terminology and summaries.
How does AI help with onboarding new C#/.NET developers?
AI-generated documentation provides explanations for services, models, workflows, DI setups, and API surfaces, enabling new developers to understand the system without digging through large codebases. This reduces onboarding time and accelerates productivity for new team members.
Does the C#/.NET documentation generator support XML comment conventions?
Absolutely. The AI generates documentation following standard C# XML comment conventions, including <summary>, <param>, <returns>, <remarks>, and <example>. If your team uses custom XML tags or requires summaries in a specific tone or structure, the AI adapts accordingly.
Can AI document modern ASP.NET Core patterns?
Yes. AI understands and generates documentation for newer .NET patterns including minimal APIs (MapGet, MapPost), custom middleware pipelines, policy-based authorization handlers, model binding, and validation behaviors. For minimal APIs, AI can produce route summaries, input/output descriptions, validation rules, and example requests, making lightweight endpoint documentation effortless.
Can AI help document asynchronous code, LINQ, and reactive patterns?
Yes. AI excels at explaining async flows such as async/await chains, task orchestration, parallel execution, and background jobs. It also breaks down LINQ queries, projections, joins, and aggregations step-by-step. For reactive patterns, AI can summarize observables, stream transformations, and event-driven behaviors in a way that’s easy to digest.
Can AI document Domain-Driven Design elements in .NET solutions?
Yes. AI can explain aggregates, aggregate roots, value objects, domain events, repositories, specifications, and bounded contexts. It identifies domain rules inside an aggregate and summarizes how state transitions and invariants are enforced, which helps maintain conceptual clarity in enterprise solutions.
Can AI document interfaces, dependency injection graphs, and service lifetimes?
Yes. AI can identify injected services, analyze DI registrations, and describe how services interact across layers. It can also summarize the purpose of interfaces, expected implementations, common usage patterns, and how lifetimes (Scoped/Singleton/Transient) affect runtime behavior.
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C# / .NET Code Documentation Question & Answer
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