Igor Koltun, a Product Owner, said about AI Apps Builder: "Excellent app — it truly accelerates custom app development for business users like POs, PMs, BAs, and other stakeholders." That's exactly what this tool is meant to do.
Vibecoding the Forge app has one complication: deploying still works the same way as in Jira — only a site administrator can install or reinstall it in the Jira site. If you're not an admin, you can build your app in your own instance or sandbox, open the Dev Console, generate an installation link, and send it to your admin to install on the target Jira site. This process works, but it takes several steps before your admin can even see what you've built.
We've made this easier in AI Apps Builder. Now, if you're not an admin in the target Jira site, you can just share your chat with an admin to finish the deployment.
And the best part is that once your admin joins, they're not just there to click "deploy." They can open the Specification tab to see what the Forge app does and which scopes it uses, check the Preview to see it in action, and if you added them as Editor, they can make changes to the app too. It works as a shared workspace, not just a handoff.
If you are not a Jira admin and build your Jira app or AI agent using AI Apps Builder, you can add your admin to the chat at the deployment step.
In practice, it looks like:
Open the Share modal window. On the deployment page, click Share. This opens a modal where you invite teammates to review, edit, or deploy the app.
|
Role |
What they can do |
|---|---|
|
Publisher |
See the chat and code, deploy it, and use the auto-fix feature. |
|
Editor |
View and deploy the app, and also send messages to change it. Generation any changes uses their own credits. |
If you haven’t heard of AI Apps Builder, it’s a no-code tool that turns a plain-language description into a working Forge app. You describe what you need, like a report, an admin tool, an AI agent, or a skill, just as you would explain it to a colleague. The AI then generates the app’s specification, code, UI, and configuration.
Custom Jira work has always run into the same four walls:
Most Jira customizations never get built because they require a developer. Every Jira team has a list of "nice to have" ideas, like a specific dashboard, a project settings panel, or a custom field type, that never get shipped because they need a developer. With AI Apps Builder, you just explain what you need in plain language and get a working Forge app. No developer needed.
Repetitive workflow gaps are handled manually, week after week. Someone on your team chases worklog notes, checks for missing story points before the sprint starts, or reminds people about tickets close to breaching SLAs, all by hand every week. Automating this usually needs a developer too. With AI Apps Builder, you can set up an AI agent to spot the pattern and handle it.
Connecting Jira to your other tools requires custom development. Linking Jira to Slack, HubSpot, or Google Drive usually means hiring someone or living without the integration. With AI Apps Builder, anyone can build apps with OAuth and API key integrations.
Custom Jira development is often too slow and too expensive. A working Forge app usually takes 30 to 50 developer-hours before it goes live. That’s why most ideas never get built. With AI Apps Builder, you can build it in under 30 minutes and save about 30 hours of development time per app.
With AI Apps Builder, you can create:
Rovo agents and custom skills
Dashboards and gadgets for better visibility
Custom pages, portals, and internal tools
Reports tracking workload, capacity, and team performance
Tools monitoring SLAs, incidents, and service health
Reports combining data from multiple sources
Custom actions to automate everyday tasks
Tools enhancing the Jira issue view and in-context experience
Apps to manage and audit Jira configuration
And more across 31 Jira modules.
Teams that work with external suppliers, vendors, or partners often use email for communication, while SLA tracking happens in Jira. When a deadline slips because of a delay on the other side, there’s no easy way to show that in the issue. The proof stays scattered across email threads instead of being attached to the task.
Solution: With AI Apps Builder, you create a Jira Issue Panel that links Gmail addresses to an issue and automatically posts related emails as comments.
Read the full use case → "How Do You Prove in Jira an SLA Was Broken by Your Supplier, Not You?"
Jira teams log time against completed tasks but often skip the comment explaining what was done. The task closes with hours attached and no context, so sprint reviews, audits, and onboarding all lose information that is hard to reconstruct later.
Solution: With AI Apps Builder, you create an agent that scans completed tasks for logged time with no comment, then posts a polite mention to the assignee and reporter asking for a short note on what was done.
Read the full use case → "Stop Chasing Teammates for Worklog Notes — Build a Jira Agent That Does It For You"
You already work in Jira. You know your team, your workflow, and exactly where things break down. You shouldn’t have to search the Marketplace, compare five different apps, and piece together the few features from each one that actually match what you need.
With AI Apps Builder, you just describe what you need and build one app (with a few modules if needed), the one app or agent that actually solves your problem. No more overlapping apps or paying for features you’ll never use.
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