Roadmap

April 26, 2026 ยท View on GitHub

DeepEye is currently focused on stabilizing the public development preview.

Current Focus

  • Improve setup, documentation, and contributor onboarding.
  • Strengthen sandbox, generated-code execution, and runtime-control boundaries.
  • Consolidate the workflow model around session -> turn -> draft -> run -> artifact.
  • Keep backend/core/frontend checks reliable in CI.
  • Continue reducing legacy paths and duplicated state handling.
  • Make artifact rendering depend on a stable typed artifact protocol.
  • Add repeatable local quality gates and security scans.

Near-Term Goals

  • Document API groups and auth/session concepts.
  • Provide a small reproducible demo dataset and workflow walkthrough.
  • Improve production hardening guidance for deployments beyond local development.
  • Add more focused tests around workflow node execution and artifact persistence.
  • Improve dependency and container image update automation.
  • Introduce the artifact protocol normalization layer described in docs/rfcs/artifact_protocol.md.
  • Start behavior-preserving splits of the largest backend node implementation files.

Later Goals

  • Define release/versioning policy.
  • Publish architecture diagrams and threat model notes.
  • Split reusable workflow node implementations if they outgrow the backend runtime layer.
  • Add benchmark or evaluation examples for common analytical workflows.

Not Yet Stable

  • Public API contracts
  • Workflow node schema compatibility
  • Generated dashboard/video internals
  • Production deployment guidance
  • Release cadence