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Roadmap

This roadmap keeps the project focused on practical harness engineering instead of feature sprawl.

Near-term

  • Improve the Ralph Loop preset with more realistic runner templates for Codex-style non-interactive runs
  • Add optional project-type presets such as:
    • batch-processing
    • repo-coding
    • research-collection
    • UI-validation
  • Add richer validator templates without making them default-heavy
  • Improve generated tasks.json and feature/task manifest patterns

Medium-term

  • Add cross-platform scaffold examples for PowerShell, Bash, and Python runner styles
  • Add optional evaluator and grader presets for high-risk tasks
  • Add browser-verification guidance bundles for UI-focused harnesses
  • Add sample generated projects under an examples/ release artifact or separate branch

Long-term

  • Distill newer harness doctrine as model capabilities evolve
  • Remove scaffolding that becomes unnecessary as base models improve
  • Support narrower presets instead of growing one giant generic scaffold
  • Keep the project publishable as a compact open-source skill, not a heavyweight framework

Non-goals

  • Becoming a universal agent runtime
  • Replacing OpenHarness, Ralph, or upstream harness frameworks
  • Defaulting every project to multi-agent orchestration
  • Encoding every project-specific habit into the public skill