Languages and development

C# and .NET for enterprise services and integrations

C# is the language of the .NET platform, which enterprises use to build backends, integrations, and warehouse logistics services. In KT.Team practice, this is .

Backend language

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Our clients

Capital Group
FSK Group
SMLT
Tochno
Dogma
Sber City
FM Logistic
Danone
Relief Center
Pandora
Saint-Gobain
Askona
FIX PRICE
Snezhnaia Koroleva
Muztorg
TVOE
Greenway
Polaris
Campari
Yandex
Lenta
International perfume and cosmetics brand
C#/.NET Development: Enterprise Services and Integrations
RAEC
EKF
L'Etoile
Inventive Retail Group
Top 5C# consistently ranks in the top five language lists (TIOBE, Stack Overflow Survey), with a broad hiring market
2 environmentsLive .NET environments for enterprise clients: a top-5 developer in CIS and an international logistics operator
LTS.NET 8/10 with long-term support: Linux, containers, and a predictable release cycle
AI-readyOfficial C# SDK for MCP (Microsoft + Anthropic) - a .NET service delivers data to AI agents by standard

Industry solutions

What you can build with C#

Development and real estate Operational and legal process services on .NET Registers, reporting, CRM and database integrations, and refactoring of legacy schemas.
Logistics and Warehouse Yard service and warehouse integrations Yard management, time slots, exchange with WMS and 1C, background workers.
Manufacturing and distribution ETL pipelines and data consolidation Data transfers between databases, cleansing, reconciliations, and reporting marts.
Enterprise sector Internal APIs and workstations on ASP.NET Core Role model, integration with user directories, and document workflows.
B2B services Customer portals and self-service accounts Authentication, billing, and integrations with CRM and accounting systems.
Integrations and AI MCP servers and AI functions in the .NET stack Agent access to corporate data, LLM enrichment, and document classification.

Capabilities

C# capabilities

Clients: web, mobile, internal workstationsAPI and services (ASP.NET Core)Background workers and ETL in C#Databases (MS SQL, PostgreSQL) and legacy schemasIntegrations: 1C, WMS, message busesAI layer (MCP SDK, Semantic Kernel LLM)
C# covers the layer of enterprise business logic and integrations: API and background services on ASP.NET Core handle requests, C# ETL pipelines move and clean data between databases and accounting systems, and the MCP layer exposes services to AI agents.

Mature .NET platform

ASP.NET Core, Entity Framework, a rich standard library, and the NuGet ecosystem mean less code from scratch for enterprise services.

Strict static typing

Compile-time contracts, generics, and nullable reference types catch errors before production, and the code reads like a specification.

Cross-platform support and containers

Modern .NET runs on Linux and Kubernetes: the service is deployed like the rest of the landscape, without being tied to Windows.

I/O and CPU performance

A compiled runtime, async/await, and low-level optimizations deliver predictable performance for integrations, ETL, and high-load APIs.

ETL and data processing

LINQ, EF Core, and connectors to MS SQL/PostgreSQL make C# a strong tool for ETL pipelines and refactoring legacy databases.

Warehouse and logistics integrations

Background workers, services, and message buses are the standard stack for Yard/WMS services and data exchange with 1C.

Hiring availability

A large .NET developer community in CIS and the CIS: the team can scale without exotic skills.

Approach

How we implement C#

Without modifying the core

We do not fork or patch the C# core. C# stays on the standard updatable version, and we move business logic into separate sidecar microservices, so platform updates do not break your customizations.

International Standards, Not Homegrown Hacks

Where a mature international solution exists, we use it instead of inventing our own protocol or platform. Before writing code, we study how the problem is already solved in the industry.

Transferability

The solution is loosely coupled and documented: it can be handed over between teams and contractors without rewriting. You are not tied to us.

AI compatibility

C# in the AI stack

Official MCP SDK for C#

The Model Context Protocol SDK is being developed by Microsoft together with Anthropic, letting a .NET service expose tools and data to AI agents through an open standard.

Semantic Kernel and Microsoft.Extensions.AI

A single interface to OpenAI, Azure OpenAI, Anthropic, and local models: agents, RAG, and function calling in a native .NET stack.

Code generation by agents

Strict typing and a large body of public C# code make the language well suited for AI assistants: explicit signatures reduce hallucinations.

AI in the integration layer

LLM enrichment, document classification, and smart search can be built into existing .NET services without a separate Python stack.

Context 2026

What changed in the market

Current runtime

.NET 10 is the current LTS release (November 2025); .NET 8 LTS is supported through November 2026. Migration from .NET Framework is underway across the enterprise sector.

Ranking positions

C# consistently stays in the TIOBE top five and near the top of the Stack Overflow Developer Survey; TIOBE's 2023 language of the year.

MCP and agents

The official C# SDK for the Model Context Protocol is being developed by Microsoft together with Anthropic; an MCP server on .NET is a standard use case, not an exotic one.

AI stack

Semantic Kernel and Microsoft.Extensions.AI have become the standard way to connect LLMs to .NET applications.

Honestly

Pros and cons

Pros

  • A mature platform with an LTS cycle and first-class tooling (Visual Studio, Rider).
  • Strict typing and compile-time contracts deliver enterprise-grade reliability.
  • Modern cross-platform .NET: Linux, containers, Kubernetes.
  • A strong stack for ETL, integrations, and background services.
  • The official MCP SDK is a direct path into the agent ecosystem.

Cons

  • KT.Team does not yet have public C# case studies - there are two active enterprise contracts; the case study selection features the same clients in adjacent stacks.
  • Part of the ecosystem leans toward the Microsoft stack (MS SQL, Azure), so open-source alternatives should be chosen deliberately.
  • Fewer off-the-shelf platforms for e-commerce/PIM than in the PHP ecosystem.
  • The hiring market in web and e-commerce is narrower than for PHP/Python.
  • Legacy .NET Framework projects need migration to modern .NET.

Projects

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