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Biz2Test

Biz2Test

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75 installs
| (33) | Free
AI-powered backlog management for Azure DevOps. Streamline business requirement planning, work items, and test automation from documents or prompts. Learn more at www.busin3ss.info
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Biz2Test — AI-Powered Child Work Item Generator

Biz2Test adds a dedicated tab to every Azure DevOps work item form (Feature / User Story) that uses AI to suggest, review, and create child work items — Tasks or Test Cases — directly inside Azure Boards.


What It Does

When you open a Feature or User Story, the Biz2Test tab:

  1. Shows all existing child work items (title, state, assigned to) with direct links.
  2. Sends the work item's title, description, and acceptance criteria to your AI backend.
  3. Returns up to 8 AI-suggested children — each with an editable title and a description tooltip.
  4. Lets you select, edit, and create the children you want, with parent–child linking handled automatically.
  5. Supports regeneration with a plain "Regenerate" button or a custom free-text instruction (e.g., "focus on edge cases", "add negative test scenarios").

Key Features

Feature Detail
Existing children panel Lists current child items with state badge and assignee
AI-generated suggestions Up to 8 actionable, non-duplicate suggestions per work item
Inline title editing Edit any suggestion before creating it
Work item type selector Choose Task or Test Case per creation batch
Duplicate prevention Skips items whose titles already exist as children
Custom instruction Free-text field to steer the AI toward specific test concerns
One-click create Creates and links selected children via the Azure DevOps REST API
Retry on error Surfaced error banner with a Retry button on backend timeout
No-description warning Inline warning when the work item has no description
Theme support Respects Azure DevOps light / dark / high-contrast themes

Architecture

Azure DevOps Work Item Form
  └── Biz2Test tab (this extension)
        ├── Reads work item fields via Azure DevOps Extension SDK
        ├── Fetches existing children via WorkItemTracking REST API
        └── POST /api/generate-children  →  Vercel Backend (backend/)
                                               └── Azure OpenAI
                                                     └── Returns structured JSON suggestions

The extension never stores work item data. All AI processing happens in your own backend deployment.


Backend API Contract

POST /api/generate-children

Request body:

{
  "workItemId": 123,
  "fields": {
    "title": "User can reset password",
    "description": "As a user I want to reset my password...",
    "acceptanceCriteria": "Given the user is on the login page..."
  },
  "attachments": [
    { "fileName": "spec.pdf", "extractedText": "..." }
  ],
  "relatedWorkItems": [
    { "id": 45, "title": "Authentication service", "type": "Child" }
  ],
  "customInstruction": "Focus on negative scenarios and session expiry"
}

Response:

{
  "suggestions": [
    {
      "title": "Validate reset link expires after 24 hours",
      "description": "Ensure token-based reset links are time-bounded"
    },
    {
      "title": "Handle invalid or already-used reset token",
      "description": "Return a user-friendly error for invalid/expired tokens"
    }
  ]
}

Rules enforced by the backend:

  • Maximum 8 suggestions per call
  • Each title capped at 120 characters
  • No generic items ("Write code", "Fix bug")
  • Suggestions pre-filtered to exclude exact title matches with existing children

Backend Deployment (Vercel)

The backend/ folder in this repository is a self-contained Vercel Python project.

Required environment variables (set in Vercel project settings or a local .env):

Variable Description
AZURE_OPENAI_ENDPOINT Your Azure OpenAI resource endpoint
AZURE_OPENAI_API_KEY Azure OpenAI API key
AZURE_OPENAI_API_VERSION API version, e.g. 2024-02-01
CHAT_COMPLETIONS_DEPLOYMENT_NAME Your deployed model name, e.g. gpt-4o

Deploy steps:

  1. Fork or clone this repository.
  2. In Vercel, create a new project and set the Root Directory to backend/.
  3. Add the four environment variables above in the Vercel project settings.
  4. Deploy. Your endpoint will be https://<your-app>.vercel.app/api/generate-children.
  5. Set that URL as BACKEND_URL in src/Samples/Biz2Test/api.ts, rebuild, and republish the extension.

Extension Configuration

After deploying the backend, update the backend URL in the extension source:

// src/Samples/Biz2Test/api.ts
export const BACKEND_URL = "https://<your-app>.vercel.app";

Then rebuild and package:

npm run build
npm run package-extension

Security

  • All Azure DevOps API calls use the user's own OAuth token (handled by the Extension SDK).
  • The backend receives work item context only — no credentials are forwarded.
  • No work item data is persisted by the backend; it is forwarded to Azure OpenAI and discarded.

Phase 2 Roadmap

  • Full Test Case generation with structured test steps (Action / Expected Result)
  • Severity tagging (Critical / High / Medium / Low)
  • Bulk export to Test Plans
  • Duplicate detection across the entire project backlog
  • Risk-based test generation
  • Per-project prompt templates

Learn more at https://busin3ss.info

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