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Collaboration policy

DataFoundry is an open-source project for governed data-agent workflows. Community collaboration should make the project easier to understand, reproduce, and operate.

Principles

  • Evidence first: bug reports, feature requests, and scenario proposals should include enough context to reproduce or evaluate the request.
  • Implemented vs. planned: docs and discussions should clearly separate shipped behavior from roadmap ideas.
  • No sensitive data: do not share secrets, credentials, private datasets, customer records, or proprietary business data.
  • Traceability matters: when possible, include SQL, logs, trace output, screenshots, or commands that explain how a result was produced.
  • Small changes review better: keep pull requests focused on one behavior, one doc improvement, or one scenario.

Communication style

Use direct, technical descriptions. A good report tells maintainers what happened, what should have happened, and how to reproduce the gap.

For new ideas, describe the user role, workflow, data source, expected output, and why the current product surface does not cover it yet.