Agentic Development for .NET

Agents as real software — dependency injection, middleware, telemetry, tests — not a script taped to a model.

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What you get

  • Agents that live inside your .NET solutions with the engineering practices you already trust
  • Your internal systems exposed once via MCP, usable from any agent host
  • A migration path off Semantic Kernel previews onto the Agent Framework
  • A team that can build the next agent without calling us

Agents are software. Most aren’t built like it.

The agent demos that flood the internet share a trait: they’re scripts. No dependency injection, no typed contracts, no telemetry, no tests — nothing your engineering organization would accept in any other pull request. Then they meet production, and production wins.

Our position is simple: an agent is a component in your system, held to the same standards as the rest of it. The Microsoft Agent Framework finally makes that natural in .NET — typed tools, session-based state, middleware, and OpenTelemetry on Microsoft.Extensions.AI abstractions — and it’s where Microsoft’s own agent investment is going.

What we do differently

We come from two decades of enterprise .NET, not from a prompt-engineering bootcamp. Agents we build slot into your solution the way your other services do: DI-registered, configured through your existing patterns, observable in your existing dashboards, tested in your existing pipelines.

And we put unusual weight on MCP. Exposing your systems as well-authenticated MCP servers is the highest-leverage agent investment most enterprises can make right now — one contract that serves your custom agents, your developers’ GitHub Copilot, and your business users’ Copilot Studio agents alike.

How we engage

Assess. Pilot. Build. Enable.

Every engagement follows the same shape — small steps, working software at each one, and an exit where your team owns the result.

  1. 01

    Assess

    A focused readiness assessment: your data, your tenant, your governance posture, and your first three use cases — ranked by value and feasibility.

  2. 02

    Pilot

    One scoped use case to working software in weeks, with an evaluation harness from day one so quality is measured, not vibes-checked.

  3. 03

    Build

    Production hardening: security review, observability, CI/CD, and rollout. The pilot graduates into something your auditors can live with.

  4. 04

    Enable

    Your team takes the keys — documentation, training, and pairing until you are self-sufficient. We measure success by not being needed.

Deliverables

What we actually hand over

Agent architecture & build

Production agents on the Microsoft Agent Framework — typed tools, session state, middleware, OpenTelemetry — designed into your existing solution structure, not bolted on.

MCP server development

Your line-of-business systems exposed as MCP servers with proper auth, so agents — yours, GitHub Copilot, or M365 Copilot — can act on them through one maintained contract.

Semantic Kernel migration

A measured migration from Semantic Kernel (or AutoGen) onto the Agent Framework — what moves, what waits, and what gets deleted, with tests proving behavior held.

GitHub Copilot enablement

Your developers shipping with AI assistance properly — custom instructions, MCP integration, code review practices, and the judgment to know when not to trust it.

Stack: Microsoft Agent Framework · Semantic Kernel · Microsoft.Extensions.AI · Model Context Protocol (MCP) · GitHub Copilot · Azure Functions

FAQ

Questions we actually get

Semantic Kernel or the Microsoft Agent Framework?

The Agent Framework is the successor — built by the same teams, merging Semantic Kernel's enterprise features with AutoGen's agent abstractions. New builds start on Agent Framework; existing Semantic Kernel investments migrate deliberately, not in a panic. We've done both and the migration is very manageable with a plan.

What is MCP and why should we care?

The Model Context Protocol is an open standard for exposing tools and data to AI agents. Build one MCP server for your ERP and it works from your custom agents, GitHub Copilot, and Copilot Studio alike — instead of five bespoke integrations. It's the USB port of the agent ecosystem, and it's why we recommend investing in it early.

Why pro-code instead of Copilot Studio?

Control and ceremony. When you need complex orchestration, custom UX, strict typing, your own runtime, or agents embedded in existing products, pro-code wins. When a business user should iterate on it weekly, Copilot Studio wins. We practice both, so the recommendation isn't shaped by what we sell.

Can you build with our team instead of for it?

That's our preferred mode — pairing and architecture reviews during the build, then our training and jumpstart programs to make the next agent fully yours.

Talk to an architect

Bring your messiest integration problem — that's usually where agents earn their keep.

Or reach us directly at contact@eightbot.com

Let's talk

We'll follow up within one business day.

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