How We Built an Agent That Turns Jira Tickets Into Shipped Features
Features miss deadlines not because engineers are slow, but because coordination is invisible overhead. Here's how we built an agent that handles the orchestration so humans don't have to.
How We Built an Agent That Turns Jira Tickets Into Shipped Features
The Problem
Features take forever to ship because the work is scattered. Someone starts the DB schema, someone else picks up the API, a third person does the UI. Nobody has the full picture. Context switches pile up. Things get dropped. By the time it ships, you've had three handoff meetings and rewritten the acceptance criteria twice.
The coordination cost is invisible until you add it up. You didn't miss the deadline because your engineers were slow. You missed it because nobody was steering.
What We Learned
The bottleneck isn't writing code — it's coordination. Someone has to know what needs to happen, in what order, and who should do it. That someone doesn't have to be human.
We kept hiring for it. Senior engineers, tech leads, project managers. The role exists because the problem is real. We just never questioned whether a person had to fill it.
What You Can Do About It
The implementation-planner agent reads a Jira ticket — the full description and acceptance criteria — builds a complete implementation plan, then coordinates three specialized agents in the right sequence.
db-agent runs first. Schema changes and migrations are the riskiest part of any feature, and everything downstream depends on them being stable. Once the DB layer is clean, api-agent and frontend-agent run in parallel — they don't block each other. test-agent runs last, writing Playwright E2E tests against the real UI.
Each agent gets full ticket context. No stubs, no TODOs. The planner waits for each phase before handing off to the next. If something breaks, the failure is isolated to the layer that caused it.
Why It Matters
A ticket goes in. A working feature comes out. No standup needed to coordinate the handoff. The orchestration overhead — which used to eat hours — disappears. You review the result, not the process.
The engineers on your team are still the ones writing the acceptance criteria, doing the code review, and making the judgment calls that require context only a human has. The implementation-planner handles the rest.
At Periscoped, we believe the best teams aren't the ones that work hardest — they're the ones that spend their time on work only humans can do.
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