AI-Powered Task Generation

Omar Masad -

TestApp.io can automatically generate QA tasks from your release notes using AI. Instead of manually writing out every test case for a new build, let AI analyze what changed and suggest targeted tasks for your team.

Step 1: Add Release Notes

AI task generation starts with good release notes. When you upload a build to TestApp.io, you will see a release notes field. Fill this in with a description of what changed in the build:

  • New features that were added
  • Bugs that were fixed
  • UI changes or redesigns
  • Performance improvements
  • Platform-specific changes (iOS only, Android only)

The more specific your release notes are, the better the AI-generated tasks will be. For example:

Vague notes (less helpful):

Bug fixes and improvements.

Detailed notes (much better):

Added dark mode support for the settings screen. Fixed crash when uploading images larger than 10MB on Android. Improved onboarding flow with new progress indicator. Updated push notification handling for iOS 17.

Tip: Treat release notes as instructions for your QA team. If a tester could not figure out what to test from your notes alone, the AI will have the same problem.

Step 2: Generate Tasks

After your release has been uploaded:

  1. Navigate to the release detail page for the build you just uploaded.
  2. Click the Generate Tasks button.
  3. The AI will process your release notes along with your app description and platform context.
  4. After a few seconds, you will see a list of suggested tasks.

The AI reads three sources of information to generate relevant tasks:

  • Release Notes: The primary input — what changed in this specific build.
  • App Description: General context about what your app does, which helps the AI understand domain-specific testing needs.
  • Platform Context: Whether the build is for iOS or Android, so the AI can suggest platform-appropriate test cases (e.g., iOS permission dialogs, Android back button behavior).

Step 3: Review Suggestions

The AI will present up to 15 task suggestions. Each suggestion includes a title, description, and suggested priority level. Before creating any tasks, review each one carefully:

  • Title: Check that it clearly describes the test case. Edit it if the wording is unclear or too generic.
  • Description: Review the testing steps and expected outcomes. Add any additional context your team might need.
  • Priority: Verify the suggested priority makes sense. The AI may suggest High priority for a minor UI tweak — adjust as needed.

You can edit any field on any suggestion before creating the task. You are in full control of what ends up on your task board.

Step 4: Bulk Create Selected Tasks

Once you have reviewed and refined the suggestions:

  1. Select the tasks you want to create by checking the box next to each one. You do not have to create all of them — pick only the ones that are relevant.
  2. Click Create to add the selected tasks to your app's task board.
  3. The tasks appear on your Kanban board immediately with an Open status, ready to be assigned and worked on.

You can assign team members, set due dates, and link additional releases to the tasks after creation, just like any manually created task.

Tips for Better AI Results

To get the most useful task suggestions from the AI, follow these best practices:

Write Detailed Release Notes

The single most important factor is the quality of your release notes. Include specific feature names, describe what changed, and mention any edge cases you are aware of. Avoid generic phrases like "bug fixes" without specifying which bugs were fixed.

Include Feature Names and Changes

Instead of writing "Updated the profile screen," write "Added phone number field to profile screen with country code picker and validation." The AI will generate much more targeted test cases when it knows the specifics.

Mention Platform-Specific Details

If a change only affects one platform, say so explicitly. For example: "Fixed iOS-specific issue where notifications were not cleared after opening" or "Added Android widget support for the dashboard summary." This helps the AI generate platform-appropriate test cases.

Keep Your App Description Up to Date

The AI uses your app description as background context. If your app has evolved significantly since you first created it, update the description in your app settings. An accurate app description helps the AI understand the domain and generate more relevant tasks.

Iterate and Refine

If the initial suggestions are not quite right, update your release notes with more detail and generate again. Over time, you will develop a feel for the level of detail that produces the best results for your specific app and workflow.

Note: AI-generated tasks work with all the same features as manually created tasks — comments, attachments, activity logs, filtering, and integration sync. For a complete overview of the task system, see Task Management: Creating and Managing Tasks. If an AI-generated task reveals a critical issue, you can escalate its priority to Blocker. See Blocker Tracking: Report and Resolve Critical Issues.

Need help? Contact us and we'll get back to you shortly.