Supervised AI engineering workers

Assign engineering work.
Get reviewable PRs back.

Orcheduct helps agencies, consultancies and MSPs maintain many repositories without adding more developer interruptions. AI workers investigate issues, gather evidence, make changes, run checks and prepare pull requests for your review.

Start with one worker See the PR flow

Built for teams that maintain many codebases

Agencies Consultancies MSPs Laravel teams Legacy maintainers

Outcomes your team can review

Not agent transcripts. Not vague diagnostics. Concrete engineering output.

🔀

Reviewable pull requests

Workers change code on a branch, run checks and package the result as a PR your team can inspect, approve or reject.

🧾

Evidence before changes

Each worker gathers the relevant code context, logs, test output and findings before asking you to approve risky work.

🛠️

Failed CI repair loops

When checks fail, Orcheduct classifies the failure and prepares a targeted repair path instead of leaving the developer to dig.

🛡️

Safe approval gates

Pushes, merges, cleanup, SSH and other risky actions stay gated. The worker can move fast without getting unchecked power.

📦

Multi-repo maintenance

Useful for teams responsible for dozens of client or legacy repositories where small fixes consume senior developer attention.

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Outcome metrics

Track accepted outcomes, time to first PR and work completed without technical intervention so the product proves its value.

From issue to pull request

01

Assign the work

Describe the bug, change or maintenance task in plain English and choose the repository.

02

Worker investigates

The worker reads the code, gathers context, checks logs or test output and builds an evidence-backed plan.

03

Approve risky steps

You stay in control of push, SSH, merge, cleanup and other sensitive actions.

04

Review the PR

Get a branch, commit, pull request, evidence summary and test status ready for human review.

Made for maintenance-heavy teams

The best fit is not a developer writing greenfield code all day. It is a team carrying many repositories, recurring bugs and client maintenance work.

Agencies

Handle small fixes across client projects without pulling senior developers out of deep work.

Consultancies

Turn investigation, patching and PR preparation into a repeatable supervised workflow.

MSPs

Keep software maintenance moving across many systems with evidence, gates and auditability.

Add workers, not credits

Start with one supervised AI worker. Add more when you need parallel PRs across more projects.

View Plans & Pricing

Frequently asked questions

The primary outcome is a reviewable pull request: branch, commit, PR summary, evidence and test status. Some assignments may return a diagnosis or remediation report when a code change is not the right next step.
Coding assistants sit inside an editor. Orcheduct runs a supervised delivery workflow: investigate the issue, prepare the change, run checks, package evidence and ask for human approval before risky actions.
The strongest fit is agencies, consultancies, MSPs and maintenance-heavy teams that manage many repositories and want fewer developer interruptions for small fixes and investigations.
Yes. Risky actions such as push, SSH, merge and cleanup remain gated. You can approve, reject, request changes or stop the worker when needed.
Orcheduct connects to GitHub repositories and is especially useful for existing codebases where understanding context is the expensive part of the work.

Ready to get your first AI-prepared PR?

Start with one worker on one repository and measure how much maintenance work reaches review without technical intervention.

Start with one worker