AI ยท Engineering automation

Autonomous Development Orchestrator: from user story to code.

An AI agent that automates the development process. It picks up user stories through MCP, finds where each change belongs in your Azure DevOps repositories, and writes the code changes ready for review.

Hands typing on a laptop showing source code in an editor
~40%Cycle-time reduction in early pilots on covered ticket types
6Steps from user story to reviewed code
MCPConnects to your board through the Model Context Protocol
1User story in, complete code changes out
Software developer writing code on a laptop at an office desk
The challenge

Too much of a developer's day goes before the first line of code.

Before writing anything, a developer has to read the story, work out which parts of a large codebase it touches, and trace where the change should go. On routine tickets, that groundwork often takes longer than the change itself.

  • Slow orientation. Finding the right files and placeholders in a large codebase takes time.
  • Repetitive tickets. Similar stories are implemented by hand again and again.
  • Long cycle times. Stories wait in the backlog while developers dig through code.
How it works

Six steps, from the board to the code.

01

Picks up the user story

Reads user stories straight from your board through the Model Context Protocol (MCP), with no copying and pasting.

02

Extracts the keywords

Pulls out the features, entities and terms each story is about.

03

Searches your repositories

Uses those keywords to search the codebase in your Azure DevOps repos.

04

Finds where the change belongs

AI locates the exact files, classes and placeholders where the story needs to be implemented.

05

Writes the code

Generates the complete set of code changes the story needs, across every affected file.

06

Hands over for review

Developers review the proposed changes and raise the pull request, so the team stays in control.

The result

Developers review the change instead of hunting for it.

The orchestrator takes on the groundwork and the first draft of the code, so developers spend their time on review, edge cases and the work that needs human judgement.

  • Faster delivery. Early pilots showed about a 40% cycle-time reduction on covered ticket types.
  • Works with your tools. User stories come from your board through MCP, and code comes from your Azure DevOps repos.
  • Humans stay in control. Every change is reviewed by a developer before it is merged.

Want to automate your development workflow?

Tell us about your board, repositories and team. We'll reply within one business day.

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