Training course · Agentic Coding · C# & .NET

Agentic Coding for C# and .NET Developers

Use autonomous coding agents effectively: specs instead of prompts, task decomposition, test-driven loops, multi-agent setups and governance.

Duration
2 days (14 hrs)
Format
Online or on-site
Language
German or English
Participants
open dates or exclusive for your team
Certificate
Certificate of attendance

Overview

“Agentic Coding for C# and .NET Developers” is a hands-on course for roles such as C# developers working with ASP.NET Core, Blazor or WPF, Teams migrating applications from .NET Framework to modern .NET and Software architects for .NET and Azure solutions. Rather than learning Agentic Coding in the abstract, you work on tasks from your daily routine – with examples, exercises and templates from C# & .NET.

Agentic coding means working with AI agents that carry out development tasks largely on their own: they read code, plan changes, run commands and tests, and correct themselves based on the results. Tools such as Claude Code, OpenAI Codex, the GitHub Copilot coding agent and Cursor’s agent mode have made this way of working practical for everyday use. This vendor-neutral course teaches the underlying methodology so that you achieve reliable results whatever the tool, and redefine the developer’s role within your engineering team.

The core shift is from ad hoc prompts to robust specifications. You will learn to decompose and describe tasks so that agents solve them reliably, to set up test-driven loops in which tests act as objective acceptance criteria, and to run several agents in parallel or with a division of labour. We also cover review strategies for agent-generated code and team governance: permissions, security boundaries, accountability, cost control and the gradual introduction of agentic workflows into your existing development processes.

C# and .NET are firmly established in many organisations: ASP.NET Core APIs, Blazor and WPF front ends, Azure services and line-of-business applications dating back to the .NET Framework era. Migrating from the classic .NET Framework to modern cross-platform .NET in particular ties up significant capacity. AI coding assistants and agents take over much of the mechanical work here: converting project files to SDK style, identifying WCF or Web Forms dependencies, writing xUnit or NUnit tests, optimising Entity Framework Core queries and introducing nullable reference types. To do this well, they need context on solution structure, analyser rules and architectural guidelines. This course shows you how to use agents in Visual Studio, VS Code or Rider and on the command line.

The course is delivered live – either online in a virtual classroom or on-site in our training rooms in Munich, Salzburg, Berlin, Augsburg, Hanover, Bremen, Stuttgart and Kaiserslautern. We can also run it exclusively for your team.

Who is this course for?

  • C# developers working with ASP.NET Core, Blazor or WPF
  • Teams migrating applications from .NET Framework to modern .NET
  • Software architects for .NET and Azure solutions
  • Developers of line-of-business applications in industry and SMEs

Typical challenges we address

  • Costly migration of .NET Framework applications built on WCF, Web Forms or ageing NuGet packages
  • Large solutions with many projects, circular dependencies and little test coverage
  • Performance issues caused by inefficient Entity Framework queries
  • Inconsistent handling of nullability, async/await and dependency injection

What you will be able to do

  • You understand how coding agents work and choose the right tool and level of autonomy.
  • You write specifications and project context that agents can work with reliably.
  • You break initiatives into verifiable sub-tasks and steer agents through test-driven loops.
  • You use multi-agent setups and parallel work in a controlled way.
  • Use AI agents for .NET migrations, refactorings and test generation across large solutions.
  • Optimise Entity Framework Core data access and ASP.NET Core APIs with AI support.
  • Define analyser rules, conventions and review criteria that generated C# code meets reliably.

Course outline

Day 1

Module 1 Foundations of agentic development
  • How coding agents work: tool calls, context windows and feedback loops
  • Comparing tools: terminal agents, IDE agents and cloud agents
  • Recognising suitable tasks and choosing levels of autonomy deliberately
  • The new role in the team: from implementation to steering and acceptance
Module 2 Specifications instead of prompts
  • Describing tasks with goal, context, constraints and acceptance criteria
  • Keeping project context in files such as CLAUDE.md, AGENTS.md or rules
  • Plan-first approach: let the agent draft a solution and review it before implementation
  • Versioning specifications and maintaining them as part of the repository
Module 3 Task decomposition and test-driven agent loops
  • Breaking large initiatives into independent, verifiable sub-tasks
  • Having tests written first and using them as an objective stopping criterion
  • Using linters, type checks and builds as automatic feedback
  • Recognising stuck loops and restarting with a new strategy
Module 4 Multi-agent setups and parallel work
  • Defining specialised subagents for research, implementation, testing and review
  • Organising parallel work with branches, worktrees and isolated environments
  • Orchestration: merging results and resolving conflicts
  • Sharing tools and data sources through MCP

Day 2

Module 5 Review, security and team governance
  • Review strategies for large, agent-generated changes
  • Defining permissions, sandboxing and protection against prompt injection
  • Embedding agents in CI pipelines and pull request processes
  • Planning team guidelines, accountability, costs and a phased rollout
Module 6 Practice lab: C# & .NET
  • Migrating to modern .NET
  • Writing xUnit and NUnit tests
  • Optimising Entity Framework Core
  • Introducing nullable reference types
  • Building ASP.NET Core APIs
  • Code analysis and refactoring
Module 7 Data protection, quality & transfer to daily work
  • Clarify whether source code may be sent to cloud models and which tenant or region settings apply, and keep connection strings and secrets from User Secrets or Key Vault out of prompts. New NuGet packages should be checked for licence, provenance and vulnerabilities – not least in view of the obligations under the Cyber Resilience Act.
  • Ground rules for safe AI use in your team
  • Checking results: facts, sources, tests and the four-eyes principle
  • Personal action plan for the next 30 days
  • Open questions, outlook and resources for further learning

Practical scenarios from your field

Migrating to modern .NET

The agent analyses projects using the upgrade tooling and compiler output, converts csproj files to SDK style, replaces incompatible APIs and proposes alternatives to WCF or System.Web until the solution builds and tests pass.

Writing xUnit and NUnit tests

Services, controllers and domain logic get unit tests with Moq or NSubstitute plus integration tests using WebApplicationFactory. The AI covers edge cases and sticks to your existing test conventions.

Optimising Entity Framework Core

The AI analyses generated SQL, spots N+1 problems, missing AsNoTracking calls or awkward Includes, and creates migrations and projections for faster queries. Every change is backed by the resulting SQL.

Introducing nullable reference types

Nullable is enabled project by project while the AI works through compiler warnings, adds guard clauses and annotations and makes implicit assumptions in the code explicit.

Building ASP.NET Core APIs

Specifications become minimal APIs or controllers with validation, ProblemDetails error handling, authentication and OpenAPI documentation, consistent with your existing layered architecture. Integration tests safeguard each new endpoint.

Code analysis and refactoring

Roslyn analyser findings are fixed systematically, oversized classes split, async anti-patterns such as .Result removed and dependency injection registrations made consistent. Build, analysers and existing tests confirm that behaviour is unchanged.

Possible hands-on projects

Minimal API service

An ASP.NET Core service using minimal APIs, EF Core, health checks, structured logging and integration tests, built end to end by an AI agent from a specification.

Migration inventory

A console tool that scans a solution, lists target frameworks, NuGet packages and incompatible APIs, and produces a prioritised migration plan.

Blazor admin UI

A small Blazor application for managing master data, with form validation, filterable tables and integration with an existing REST API.

Prerequisites

You have several years of development experience, are confident with Git, testing and CI, and ideally have already used AI coding tools. Good C# skills, experience with ASP.NET Core or .NET desktop development, and familiarity with Visual Studio, Rider or VS Code and Git.

Technical requirements

Your own laptop with Git, a terminal and your development environment, plus access to at least one coding agent such as Claude Code, Codex, Copilot or Cursor.

Data protection & compliance

Clarify whether source code may be sent to cloud models and which tenant or region settings apply, and keep connection strings and secrets from User Secrets or Key Vault out of prompts. New NuGet packages should be checked for licence, provenance and vulnerabilities – not least in view of the obligations under the Cyber Resilience Act.

Suggested dates

All dates are suggestions – your preferred date is always possible.

  • Wed, 25 November 2026 – Thu, 26 November 2026 Online Request
  • Thu, 10 December 2026 – Fri, 11 December 2026 Salzburg Request
  • Tue, 15 December 2026 – Wed, 16 December 2026 Online Request
  • Thu, 21 January 2027 – Fri, 22 January 2027 Bremen Request
  • Mon, 1 February 2027 – Tue, 2 February 2027 Online Request
  • Tue, 16 February 2027 – Wed, 17 February 2027 Augsburg Request

Frequently asked questions

How does agentic coding differ from vibe coding?

Vibe coding relies on fast, intuitive iteration in natural language and is particularly suited to prototypes. Agentic coding is an engineering discipline for professional codebases: precise specifications, tests as acceptance criteria, clear permissions and structured reviews ensure that agents deliver reliable, maintainable results even in complex, long-lived projects.

Is the course tied to a specific tool?

No. The course teaches methods that work with Claude Code, OpenAI Codex, the GitHub Copilot coding agent, Cursor and comparable tools. The exercises highlight differences and common ground, for example in context files, permissions and subagents. You can work with whichever tool your organisation already uses or plans to adopt.

How do we stay in control of quality and security with autonomous agents?

Control comes from several layers: tightly scoped permissions and sandboxing, tests and static analysis as automatic checks, mandatory human review before merging, and clear team rules on accountability. During the course you develop a governance concept that fits your processes, security requirements and regulatory obligations.

Does AI really help with migrating from .NET Framework?

Yes, especially with the mechanical work: converting project files, finding incompatible APIs, suggesting replacement libraries and fixing build errors iteratively. Fundamental architecture decisions, such as replacing WCF with gRPC or REST, remain with the team. On the course you practise breaking such migrations into small, verifiable steps.

Do AI agents work with Visual Studio?

Many AI assistants integrate directly with Visual Studio, VS Code or Rider, while others run in the terminal alongside the dotnet CLI. The methods taught are tool-neutral: you learn to provide context, scope tasks and safeguard results through builds, analysers and tests, regardless of your IDE.

How much does “Agentic Coding for C# and .NET Developers” cost?

The course costs a flat €949 plus VAT per participant – whether online or on-site. This includes 2 training day(s) with a live trainer, course materials, a lab environment and a certificate of attendance.

Can I suggest my own date?

Yes. Our suggested dates are just a guide. In the request form you can always describe your preferred date or period in free text – we check availability and confirm within one working day.

Is the course online or on-site?

Both are possible: live online in a virtual classroom or on-site in Munich, Salzburg, Berlin, Augsburg, Hanover, Bremen, Stuttgart or Kaiserslautern. We can also run the course exclusively for your team.

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