AI Decision System
Replayable, offline-verifiable records for AI-assisted go/no-go decisions: experiment promotions, typed model answers and human-approved actions.
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Open source factory for one-shot engineering
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SuperPlane turns high-confidence backlog issues into verified, review-ready pull requests so engineers can focus on work that needs judgment.
SuperPlane lets AI agents fully automate routine development work. It coordinates coding agents, source control, CI, review, approvals and feedback in one visible system so engineers do not have to project-manage every step.
The factory continuously evaluates which backlog issues agents can handle with high confidence. It applies the same workflow-level guardrails to every run, checks the result and sends failures back to the agent with actionable context. Ambiguous work and decisions that need human judgment stay with your team.
SuperPlane is built on an Apache 2.0 open source engine. Choose your models, run in the cloud or on-prem and build the factory around your stack and cost constraints.
Reliable automation starts with a clear task. SuperPlane analyzes the issue, helps refine the plan, and identifies decisions that need your input before implementation begins.
SuperPlane checks the agent's work and sends failures back for correction. An agent review assesses merge confidence and highlights remaining concerns, so your team can make the final decision with evidence.
The plan and the pull request review are two parts of that workflow. SuperPlane can also wait for an event from your tools, call an agent, or ask a person for approval.
SuperPlane imports the issues and assesses which tasks are suitable for an agent.
Install SuperPlane on your own infrastructure.
See the self-hosting guide.
We welcome focused pull requests, bug reports and product ideas.
Contributor setup is Docker-based. Start with the repository instructions in
AGENTS.md and the development section of
CONTRIBUTING.md.
SuperPlane is available under the Apache License 2.0.