If you work in Jira long enough, you start noticing patterns: the same subtasks, the same workflows, the same manual steps are repeated every sprint. But there still isn t an easy or scalable way to solve this problem. This guide shows you how to solve that problem by building your own Jira app, all without needing to write any code.

The Problem: Repetitive Work That Never Really Goes Away

A common Jira scenario:

• You create a new issue.

• You add the same 5 7 subtasks.

• You assign the same people.

• You adjust the same deadlines.

We work on AI Apps Builder for Jira, an AI tool that lets Jira users generate custom Forge apps from a plain-language description. You describe the dashboard, gadget, or report you need, and get a working app you can deploy to Jira Cloud. The core loop works well. But we kept hearing the same thing from users after their first successful build.

The Problem with Iterating on AI-Generated Apps

It feels great to get a first version working. But things get tough when you try to improve it. Here s what our users told us:

The Jira Customization Problem Nobody Talks About

Every team eventually hits the same wall. You need a custom dashboard, a specific report, or a small panel that shows the right data at the right time. The standard options aren't great:

Option A: Buy a Marketplace app. You spend an afternoon evaluating five tools, none of which do exactly what you need. You end up with the closest match and live with the gaps.

Many AI tools promise that you can simply describe what you want and get a working result. And in many cases, that s true. For example, I take the tool I'm working on, AI Apps Builder for Jira. Using this app, you can explain the Jira app you need in plain language, and the AI generates a Forge app for you.

However, one thing becomes clear very quickly: the more specific your description is, the better the result will be.

While experimenting with AI Apps Builder for Jira, certain patterns started to emerge. Some prompts consistently produced clear, usable apps, while others led to results that needed refinement. The difference wasn t the AI itself it was how the request was written.

In this article, we ll look at those patterns and explore practical ways to write better prompts when building custom Jira apps, dashboards, and reports.

Jira teams often ask the same question: How can we get better visibility into what s really happening in our projects?

Jira provides strong built-in reporting, but when teams want something slightly different, for instance, a new summary view, a custom dashboard gadget, or a report that combines data across projects, the usual options are limited. You either export data, install another plugin, or ask developers to build something custom.

My team has started a different approach: describing the report in plain language and letting AI generate the app that produces it. That idea became AI Apps Builder for Jira, and it s what we re launching on Product Hunt.