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neooutput

Agentic coding for .NET and C#: a workshop for Visual Studio and Azure DevOps teams

.NET applications often run core business processes: line-of-business systems, customer portals, ERP integrations. Traceability matters accordingly. The neooutput workshop shows how coding agents save time in this environment without anyone losing control. Your team works on its own solution, writes rules for the agent and sees how the compiler, analyzers and tests act as an automatic quality gate before any human review starts.

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In short

Coding agents such as Claude Code, OpenAI Codex and Cursor work reliably in .NET because the C# compiler and dotnet test give them fast, unambiguous feedback. In the neooutput workshop your team learns to describe multi-project solutions so agents understand them, generate Entity Framework migrations under control and review agent changes through pull requests in Azure DevOps or GitHub.

Your benefits

The compiler on your side

Type errors surface immediately, and the agent fixes them on its own before a human sees the code.

Large solutions under control

A rules file describes projects, layers and dependencies so changes end up in the right place.

Fits your tooling

We account for Visual Studio, Rider or VS Code and for Azure DevOps or GitHub as your code platform.

Traceable changes

Every agent change goes through a pull request with build, tests and human review.

Why .NET and coding agents work well together

Statically typed languages give agents an edge: after every edit, dotnet build reports exactly what is wrong. Claude Code or Codex read that output and keep iterating until build and tests pass. Roslyn analyzers and code style rules in .editorconfig strengthen the effect because they turn conventions into something a machine can check.

Very large solutions with dozens of projects, mixed framework versions and code generation are harder. The agent needs to know which projects it may change and which generated files are off limits. We capture exactly that in CLAUDE.md or AGENTS.md during the workshop.

How we work with your team

neooutput's AI code engineers run the workshop remotely or at your offices, using real items from your backlog.

We want your team to leave with more than a working setup: they should understand why it is built this way. After each exercise we discuss where the agent did well, where it lacked context and which rule should be added to the rules file. These findings gradually turn into a playbook that you maintain yourselves after the workshop.

  1. We review the solution structure, test projects and build pipeline.
  2. Together we write a rules file with build and test commands, architecture rules and restricted areas.
  3. The team builds a new ASP.NET Core endpoint with validation, Entity Framework access and xUnit tests.
  4. Each participant then takes an individual task, such as a refactoring or updating NuGet packages.
  5. Finally we decide how agents will be used in the pipeline and which approvals are required.

Handling data and documentation safely

.NET systems frequently process customer, HR or contract data. If log extracts or test data are to be shared with an agent as context, Textwash Pro anonymises them automatically first, keeping personal data out of prompts.

Specifications, interface descriptions and operations manuals are often scattered across SharePoint or wikis. kalAIDoCreate makes such documents accessible through a knowledge assistant for business units and IT alike, so the people who maintain the system and the people who use it draw on the same source of truth.

Frequently asked questions

Do coding agents work with .NET Framework as well as modern .NET?

Yes, with limits. The agent can read and edit the code, but build and tests must be runnable in its environment. Older .NET Framework projects often build only on Windows, which affects your choice of tool and environment.

Isn't GitHub Copilot enough for .NET teams?

Copilot is strong inside the editor, while Claude Code and Codex are designed for autonomous tasks across many files. Many teams use both, and the workshop shows which tasks suit which tool.

Can you train teams in regulated industries?

Yes. neooutput works with ISO 9001 and ISO 27001 certified processes. The workshop covers data protection, permissions and logging so agent use stays transparent to auditors and data protection officers.