AI software factory

Engineering tasks 30% one-shot

SuperPlane lets AI agents fully automate routine development work. Free your team to focus on what’s important.

30%

of backlog issues handled autonomously

90%+

of factory-produced PRs ready for approval

70%

fewer engineer touchpoints per routine issue

4x

faster issue-to-reviewed-PR cycle

10+ hrs

engineering time saved per week

90%+

of factory-produced PRs ready for approval

Agents can’t be trusted on

01

It’s hard to tell what they should handle

AI frequently misinterprets code context and executes wrong strategies.

02

Without guidance, they produce slop

Automated code lacking human oversight is notoriously messy and insecure.

03

Engineers have to be constantly involved

No trust translates to manual handholding on every single pull request.

Make agents work
like they should

1.0 Continuous Scanning

SuperPlane investigates what can be automated

Even when your team’s offline, SuperPlane scans your codebase and backlog to find tickets to tackle with high confidence.

SuperPlane scanning a codebase and backlog for automatable work

2.0 Setting Guardrails

Set the rules and trust every agent will comply

Define deterministic steps for your workflows to keep guardrails consistent, no matter who assigns the task.

Animated GitHub issue moving through review with consistent guardrails

3.0 Verification

Watch tasks get done with no need to babysit

Cut down your to-do list and code review. SuperPlane verifies when work is complete and iterates with the agent when it isn’t.

Backlog2
◯Add retry to webhook delivery◉♧ Agent question Clarity 3
just now
◯Re-run hooks on client navigation◉♧ Agent question Clarity 3
just now
+ Create task
Implement2
◌Update retrieve Function◉Agent implementing
just now
◌Fix deploy and retrieve Tests◉Agent implementing
just now
Done3
✓Fix deploy and retrieve Tests◉↳ Merged #31
just now
✓Add retry to webhook delivery◉↳ Merged #30
just now
✓Clean up stale feature flags◉↳ Merged #29
just now

Our customers concur

People discussing software workflows at a SuperPlane workshop
“Superplane is exactly what we needed, it is like n8n but built specifically for DevOps. It has saved our team countless hours by automating our workflows, and I can't wait to see the million new integrations they introduce next!”
Paul Kundas
DevOps at NativeTeams
NativeTeams

Open source
offers freedom

Use any model, run in the cloud or on-prem and build your software factory around your stack and cost constraints. With SuperPlane, you own your own alpha.

Learn more about our philosophy

Live FAQ

How one-shot engineering works.

What does SuperPlane mean by an AI software factory?

SuperPlane turns high-confidence routine work into verified, review-ready pull requests. It coordinates agents, source control, CI, review, approvals and feedback in one visible system so engineers don’t have to project-manage every step.

What engineering work can SuperPlane one-shot?

Start with focused bugs, maintenance work, paper cuts, test fixes, documentation updates and small improvements with a clear outcome. SuperPlane is built for routine work that can be scoped, checked and reviewed consistently.

How does SuperPlane decide what to automate?

SuperPlane continuously scans your codebase and backlog, then ranks issues by automation confidence using signals such as scope, available context and test coverage. Ambiguous work or tasks that need judgment stay with your team.

How are agent guardrails enforced?

The workflow, not the individual agent, owns the rules. Teams define allowed scope, required checks, review policies, approval points and escalation paths once and SuperPlane applies them consistently to every run.

What happens when an agent or CI check fails?

SuperPlane captures the failure, gives the agent actionable feedback and runs the required checks again. If the task still needs human judgment, the workflow pauses and escalates it with the full context intact.

Does SuperPlane replace our existing tools or infrastructure?

No. SuperPlane coordinates the coding agents, source control, CI and review tools you already use. Choose your models, run in the cloud or on-prem and build on the Apache 2.0 open-source engine.

Agents shouldn’t need you
to hold their hand.

Let’s talkRead the docs