# DevOps Assist AI for Modern Software Teams using Azure DevOps

DevOps Assist AI introduces an AI-powered SDLC inside Azure DevOps, bringing intelligent assistance into every step of the software delivery lifecycle. From idea intake and backlog refinement to code generation, pull request review, release planning, requirement traceability, time tracking, and executive reporting, teams get practical AI features where delivery work already happens.

It helps product managers, developers, QA teams, and delivery leads move from work item ideas to clearer requirements, better pull requests, release visibility, and actionable team insights.

Built for Azure DevOps Services and Azure DevOps Server, DevOps Assist AI works inside the tools your team already uses: Boards, Repos, pull requests, work items, releases, and team reporting.

## AI Across the SDLC

- Plan: shape ideas into features, user stories, acceptance criteria, test cases, and prioritized backlog items
- Build: turn approved requirements into implementation plans, prototypes, generated code, and pull requests
- Review: analyze pull request changes, identify quality and security concerns, and focus reviewers on high-value feedback
- Release: manage scope, dependencies, milestones, progress, release notes, and stakeholder visibility
- Measure: track time, usage, productivity signals, and delivery insights across teams and projects
- Govern: support consistent AI usage, licensing, permissions, and organization-level configuration

## What You Can Do

### Cleo Agent — Natural-Language Azure DevOps Assistant

Ask questions and perform Azure DevOps actions using natural language. Cleo helps teams find work, inspect project data, and interact with Azure DevOps through an AI assistant experience.

### Evolve — Turn Ideas into Work Items

Generate features, user stories, acceptance criteria, test cases, and technical notes from product ideas. Evolve helps teams shape early backlog items faster and with more consistency.

### Groom — Refine Backlog Items

Improve work item descriptions, clarify requirements, strengthen acceptance criteria, and prepare backlog items for planning or delivery.

### Summarize — Create Clear Work Item Summaries

Condense work item details, comments, discussions, and related context into concise summaries with key decisions and action points.

### AI Code Reviewer — Review Pull Requests Faster

Run AI-assisted pull request reviews inside Azure DevOps Repos. DevOps Assist AI analyzes changed files, identifies quality and security concerns, posts review feedback, and helps reviewers focus on the highest-value issues.

### Developer Agent — Generate Code from Work Items

Convert approved work item requirements into code changes and pull requests. The Developer Agent analyzes repository context, plans implementation steps, generates changes, verifies output, and opens a pull request linked to the originating work item.

### Prototype Agent — Quickly Visualize Ideas

Generate lightweight visual prototypes from work item descriptions so teams can explore concepts before committing to full implementation.

### Release Manager — Plan and Track Delivery

Manage release scope, dependencies, progress, and release notes from inside Azure DevOps. Release Manager helps teams align planning, delivery, and stakeholder communication.

### Perfect Timesheets — Track Work Where It Happens

Log time directly against Azure DevOps work items, review calendar views, and analyze team time allocation across projects and delivery activities.

### Insights — Understand Team Activity

View analytics across DevOps Assist features to understand usage, delivery patterns, and team productivity signals.

## Why Teams Use DevOps Assist AI

- Reduce manual backlog grooming and requirement writing
- Improve pull request review speed and consistency
- Convert work item requirements into implementation-ready plans
- Generate acceptance criteria and test case ideas faster
- Keep planning, release management, time tracking, and AI assistance inside Azure DevOps
- Support governed AI usage with organization-level configuration

## Works With

- Azure DevOps Services
- Azure DevOps Server
- Azure Boards
- Azure Repos
- Azure Test Plans
- Azure DevOps work items and pull requests

## Ideal For

- Business Analysts
- Product managers
- Engineering managers
- Software developers
- QA and test teams
- Scrum masters
- Release managers
- Project managers
- DevOps engineers
- Stakeholder / Business users
- Consulting professionals
- No code low code development  
- Azure DevOps administrators
