Using AI to Streamline Developer Ticket Writing

Let’s be honest, writing dev tickets isn’t exactly the most exciting part of building software. But it’s essential. A clear, well-detailed ticket can be the difference between a smooth release and a dev pinging you with, “What’s this supposed to do again?”

That’s why I started using ChatGPT to help me write them.

I work on a range of products, often jumping between features quickly. After a long stretch of QA, it’s easy to forget the tiny details that developers and other testers need to know, especially when you’re writing multiple similar tickets in a row.

So I started using ChatGPT to help me translate what’s in my head into clear, structured steps to reproduce and expected behavior. It’s made a huge difference.

Let me give you an example that’s easy to picture. I use Rover, a pet-sitting app, when I need someone to watch my dogs while I’m on vacation or stop by when I’m out for a long time.

For this example, let’s say I’m working with a client building something similar. I’m reviewing the test environment and doing app-wide QA testing to see what needs to be added or updated. I just finished testing a feature where users can filter pet sitters by availability and preferred dog size, but it’s not working properly. Now it’s time to create a ticket.

Here’s what I’d do:

I open ChatGPT and say:

“Help me write a new ticket for a feature that lets users filter pet sitters by availability and dog size. The expected behavior is that the user should be able to select date ranges and size preferences, and the results should update accordingly. There are two issues:

1. The date selector isn’t closing automatically after selecting a date range.

2. The results are not being filtered by the size preference.

Please write me two Trello tickets with expected behavior for each issue, the current behavior, and what needs to be done to fix it. Include steps to reproduce.”

ChatGPT returns something like this:

Ticket 1: Date Selector Auto-Close Issue

Expected Behavior:

• User selects start date and end date from the date picker
• Date picker automatically closes after both dates are selected
• Selected date range is displayed in the filter section

Current Behavior:

• Date picker remains open after selecting dates
• User must manually click outside or press escape to close

Steps to Reproduce:

1. Navigate to the pet sitter search page
2. Click on the date range filter
3. Select a start date
4. Select an end date
5. Observe that the date picker remains open

Acceptance Criteria:

• Date picker closes automatically after selecting both start and end dates
• Selected date range is clearly displayed

Ticket 2: Size Preference Filter Not Working

Expected Behavior:

• User selects dog size preference (small, medium, large)
• Search results are filtered to show only pet sitters who accept that size
• Filter is applied in combination with other active filters

Current Behavior:

• Size preference selection has no effect on search results
• All pet sitters are shown regardless of size preference

Steps to Reproduce:

1. Navigate to the pet sitter search page
2. Select a dog size preference from the dropdown
3. Click search or apply filters
4. Observe that results are not filtered by size preference

Acceptance Criteria:

• Size preference filter correctly filters search results
• Filter works in combination with date range and location filters
• Clear indication when no sitters match the size preference

That just saved me 10-15 minutes of formatting, rewording, and trying to think through every checklist to-do item. I usually tweak the output to match my project’s style, and I’ll also add screenshots or screen recordings, but ChatGPT handles the heavy lifting.

What I love most about using ChatGPT to help me:

• I get well-structured tickets done faster.
• I don’t forget small but important details.
• I write more consistently across the board, because ChatGPT remembers my preferred format and style. I don’t have to start from scratch every time.

Our developers appreciate it too. Cleaner tickets mean fewer follow-up questions, less confusion, and more time spent actually developing and testing.

Using ChatGPT for ticket writing might seem like a small thing, but it adds up fast. If you’re juggling multiple projects, or just want to spend more time solving the issue and less time explaining it, it’s worth a try.

It’s like having an AI-powered project assistant.