Comparison

Editor AI assistant or ticket driven agent: how the two approaches differ

Short answer

An editor assistant works inside a developer’s session. Reqursor Development takes tickets from a queue, runs on a Linux server you operate and ships only through your checks and evidence.

An AI assistant in your editor compared with Reqursor Development, by how each approach works
AspectAn AI assistant in your editorReqursor Development
Who starts the workA developer, in the editorA ticket in the queue, run by a person or by Autopilot
Where it runsInside the developer’s editorOn a Linux server you operate
Unit of workThe change made in the editorOne ticket with a checklist of acceptance criteria
Who is at the keyboardThe developer, in the editor sessionNobody during the run; the team reviews the result

Who starts the work

An AI assistant in your editor is used inside a developer’s editor session.

In Reqursor Development a ticket is the unit of work. It sits in the queue, and a person clicks Run now, or Autopilot picks up Ready tickets within the working hours you set.

Where it runs

An editor assistant runs where the editor runs. Reqursor Development is installed on a Linux server you operate, and your team opens its dashboard in a browser on your network.

Each ticket runs with its own isolated copy of your repository. The result reaches your git remote as a commit or a pull request, no different from pushing it yourself.

What gates a change

In Reqursor Development your build, lint, typecheck and tests are hard gates, and a failing check blocks the change whatever the AI says. Every acceptance criterion is linked to diff lines, and a second agent checks the change against the ticket again. A security scan runs before shipping.

What your team does with the result

Your developers write the tickets and your team reviews the output. By default each ticket opens a draft pull request, and the run view and the audit log show what was done.

A ticket that falls short comes back as an escalation report.

Good fit

  • Teams with a backlog of tickets that can be written as acceptance criteria
  • Teams that want tickets worked from a queue, with the team reviewing the results
  • Teams that want every change held to their own checks

Not the right fit

  • You want suggestions as you type: Reqursor Development works from tickets on a server, through a browser dashboard
  • The work cannot be written as a ticket with acceptance criteria
  • No Linux server you operate to install it on
  • Status today: Onboarding founding customers

Frequently asked questions

An editor assistant works inside a developer’s editor session. A ticket driven agent like Reqursor Development takes tickets from a queue, implements them in your repository on a server you operate, and ships only through your checks and evidence.

No. It is installed on a Linux server you operate, and your team uses its dashboard in a browser to write tickets, watch runs and review results. Its changes arrive on your git remote as a commit or a pull request.

Your team does. By default each ticket opens a draft pull request, large or sensitive diffs wait for a person to approve them, and every acceptance criterion is linked to the lines of the diff that satisfy it.

Yes. A ticket cannot move to Ready without at least one criterion, because the reviewer and the independent verifier both check the diff against that list item by item. Specific, checkable statements work best.

  • Use case

    Clear a ticket backlog

    Your developers write tickets with acceptance criteria. Reqursor Development implements them in your repository and, by default, opens a draft pull request for your team to review.

  • Comparison

    Versus hosted AI agents

    A hosted agent runs on its provider’s machines. Reqursor Development runs on a Linux server you operate, with its secrets on your data volume and spending caps that you set per project.

  • Use case

    Ship with evidence

    Reqursor Development links every acceptance criterion to the lines of the diff that satisfy it, runs your own checks as hard gates, and has a second agent verify the change before a security scan and the ship decision.

See it on your own codebase

See Reqursor Development work through real tickets on a repository like yours, in a 30-minute call with the people who build it.