AI Services Market › Use cases › Software & DevOps
Software & DevOpsDone with Devin 2026-11-01
Hand migrations and bug-fix tickets to a coding agent
Reviewers gave Devin migration, data engineering, bug fix and refactoring tickets on a Next.js monorepo and Python pipeline over three weeks; it did best on migrations and framework upgrades.
- What They Did
- Reviewers spent three weeks assigning Devin migration, data engineering, bug fix and refactoring tickets on two production codebases, a Next.js monorepo and a Python data pipeline. Tickets came in through Slack, Linear or Jira. Devin planned the work, wrote code in its own cloud environment, ran tests and opened pull requests. Reviewers could step in on its plan and leave PR comments for it to act on.
- How It Went
- It handled repetitive, well-defined work well, especially migrations, and mostly got review comments right the first time. Vague requirements gave mediocre to unusable results, and it could spend about 20 minutes on a wrong path before anyone noticed.
- Worth Knowing
- Cost was hard to predict: two similar migration tasks used 5 and 28 ACUs, at $2.25 per ACU on Core. Good playbooks also take hours to write.
Try it yourself with Devin
I'm giving you a batch of tickets for my repo [repo URL]: [list 3 to 5 tickets such as a framework upgrade, a data migration, a bug fix and a small refactor]. Work on them one at a time, each on its own branch with tests passing, and open one pull request per ticket. For each, write a short note on what you changed and any risks, and stop there so I can review.
Do this with a skill.
These AI Services Market playbooks do this exact job.