Automate the Backlog [Technical] | Custom AI Agents that turn Jira tickets into completed work

​Note: This version of the workshop is for participants with a technical background. If that's not you, see the non-technical at this link.

Chat-based AI is limited by the context you paste in and the answer you copy out. Agents close that loop: they run with persistent project context, take real actions (read a codebase, write files, run tests, open a PR), and are triggered by events rather than prompts. This workshop is a hands-on build. By the end, you'll have a custom agent, deployed remotely with the Claude Code SDK, that picks up a Jira ticket and returns completed work.

​We build together, step by step, at the same pace, with support throughout. The emphasis is on what makes agents reliable outside a demo: which context to give them, how to scope instructions and permissions, where to draw the boundaries, and how to wire them to a trigger so they run in the background.

​Each participant picks one agent to build. Example agents:

​Social Media Manager

​Triggered by a ticket, the agent draws on your product docs, changelog, and brand-voice guidelines to produce a content plan and per-channel post drafts, then hands them back for review.

​Landing page builder

​From a short brief, the agent generates a landing page in your stack, reusing your existing components, design system, and copy conventions, and returns it as a reviewable change rather than a snippet to paste in.

​Bug fixer

​Picks up a bug ticket, reproduces the issue, traces the root cause through the codebase, implements a fix, runs the tests, and opens a pull request with a summary of what changed and why. You stay in the review seat.

​We won't be using existing Jira agents. You'll build a custom agent on the Claude Code SDK, deploy it remotely, and connect it to a trigger from your Jira board.

​A paid Claude Code subscription is required. Preparation materials go out before the workshop so you arrive with your environment set up and we can spend the session building, not installing.

​Duration & format: 3h online

​After this workshop, you will:

• ​Understand how custom AI agents can improve task management by moving beyond tracking work to actually completing parts of the work.

• ​Know how to design an agent around a specific Jira task, workflow, or recurring business need.

• ​Understand how to give an agent the right context, instructions, and boundaries so it can work reliably.

• ​Know how to connect agent behavior to real-world workflows such as content planning, landing page creation, or bug fixing.

• ​Leave with a repeatable framework for building more agents after the workshop.

• ​Be prepared to identify high-value tasks in your own Jira workflow that can be automated or accelerated with custom agents.

​This workshop is ideal for:

• ​Product builders, founders, and operators who want to automate recurring work from their Jira workflows.

• ​Product managers who want to turn well-defined tasks and acceptance criteria into more automated delivery processes.

​Pre-requisite:

• ​Claude Code paid subscription

• ​Join a Jira board with all the participants

​About the trainer(s)
Eugen is Founder & Technical PM at Tailoored AI. Before that, he spent 6 years as a Full Stack Developer at different startups, where wearing multiple hats pushed him to get involved in other parts of building a product (design, marketing, sales, and more).

​Bonus for participants (optional)

• ​All the materials and agents presented during the workshop

• ​Free support after the workshop for integrating custom agents in the participant’s workflows