Copilot4DevOps works inside Azure DevOps, where your stories, tests and reviews already live. Elicit, analyse and generate with AI — and leave a reviewable record behind every change.
Half a sentence in a ticket becomes three days of clarification. Refinement turns into archaeology across threads, docs and whoever remembers the decision.
Links between story, test and defect are rebuilt at release time rather than kept current. Coverage is asserted, not queried.
Ambiguity surfaces in QA, not at refinement. Rework lands mid-sprint with the release date already committed.
You don't have to settle for the status quo. The evidence can be produced by the same act that does the work.
Ask about work items, pipelines and artifacts in natural language, in the tab you already have open. Pick a specialist agent from the prompt or let intent decide; context carries across follow-ups.
User stories, acceptance criteria, test cases and test steps derived from the work item’s own content and published into the backlog with links intact.
Rewrite a description, tighten acceptance criteria, or refine one section in place — including Test Steps tables, inline or by chat, with their structure preserved.
Ask about work items, pipelines and artifacts in natural language. Pick a specialist agent from the prompt or let intent decide; context carries across follow-ups.
Turn documents, notes, transcripts and legacy specifications into structured, publishable work items — then get the next relevant item type suggested from your hierarchy.
Refine content in place inside the work item. Rewrite a description, tighten acceptance criteria, or edit Test Steps tables inline and by chat with their structure preserved.
Before a change is accepted, see what it touches and what has to be re-verified downstream.
Turn a requirement or document into a flow diagram, with editable diagram markdown beside it.
Sketch the interface a requirement implies, so intent is settled before build.
Produce procedures and documents from the live project state rather than a stale copy.
Move content between forms and item types instead of retyping it into a new template.
Answer questions against the project's own artifacts, with the reasoning left on the record.
Surface what an item links to, what changed, and what that means for the work in front of you.
Reusable prompts for the requests your team repeats, so output stays consistent between people.
Ground responses in your standards, templates, glossaries and prior specifications, so output reads like your organisation wrote it.
Assistance becomes automation: agents built from a plain-language description, a template, or your own configuration — triggered manually, on a schedule, or by a DevOps event.
Copilot4DevOps supports your delivery process; it does not replace your engineering standards or certify compliance on your behalf.
It runs as an extension in the Azure DevOps you already use. No migration, no parallel repository of truth.
Upload specifications and attachments. Embedded images are detected, kept with their context and read alongside the text.
Chat, analyse, generate and AI Edit sit on the work item. Pick a single agent, several, or let intent decide.
Agents can be set to pause and raise a task when a decision is needed, instead of proceeding on their own.
Modern Requirements has been the go-to Microsoft partner for requirements management since 2015, working with software, services and technology organisations that live inside Azure DevOps.
The best thing about Copilot4DevOps Plus is that it saves much time by generating test cases against any requirement in a minute. It makes the workflow smoother and lets the team focus more on test case execution instead of creating test cases first.
Nothing is committed silently. Output is proposed, reviewed and published by a person, and agents can be configured to stop and raise a task instead of acting alone.
Seven distinct permission actions cover management, deletion, execution, enablement, job history, job deletion and task handling — set across the organisation and overridable per project, team or Azure DevOps group.
Existing features, workflows and user interactions are unchanged by the V9 architecture migration. The agent layer sits behind the same interface.
Images inside uploaded documents, attachments and Azure DevOps fields are detected, kept with their surrounding context and rendered inline, so text and visuals are read together.
The trail lives in Azure DevOps against the work items, so history survives staffing changes, tool churn and audits alike.
Install, point it at one existing requirement set, and generate test cases against it in the first session. There is nothing to stand up first.
Thirty minutes, your Azure DevOps project, one of your real specifications.