superplanehq/superplane

Open source factory for one-shot engineering

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Website · Docs · Discord · Blog · Event Open source factory for one-shot engineering. 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. A SuperPlane Factory turns incoming work into…

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Inside the original README — Document outline
  1. About
  2. How the factory works
  3. Built around your stack
  4. Contributing
  5. Community and license
  6. Factory activity

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Documentation belongs to its respective authors. Reported project/model license: Apache-2.0. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.

What this repository does

Open source factory for one-shot engineering

Repository facts

Owner
superplanehq
Primary language
Go
Stars
7,706
Forks
650
Open issues + pull requests
414
License
Apache-2.0
Archived
No
Default branch
main
Created
2025-05-07T17:48:39.000Z
Last push
2026-10-05T11:46:56.000Z

Topics and intended use

Owner-supplied topics: agent-orchestration, agentic-workflows, ai-agents, ai-coding, ai-software-engineering, developer-tools, go, react, self-hosted, software-factory, workflow-automation

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Source: GitHub. Metadata observed 2026-10-05T12:07:55.130Z. Daily imports are snapshots, not real-time monitoring.

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