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Pattern Proposal: Sequential Flow Pipeline Runner

Summary

Orchestrates multi-phase architecture workflows through a structured FlowRunner coordinating setup, extraction, evaluation, and reporting.

Candidate Pattern

  • ID: sequential-flow-pipeline-runner
  • Classification: intelligence
  • Maturity: established
  • Type: implemented

Observed Signals

No specific signals listed.

Evidence

Supporting Evidence

Scope Assessment

  • Evidence Strength: high
  • Confidence: high
  • Applies to: ideas-to-life-cas

Rationale

  • Intent: Maintain deterministic execution order across extraction, compliance validation, and dashboard rendering.
  • Context: Main execution engine instantiated from src/cas_runner/cli.py to run local and CI tasks.
  • Force: Complex workflows risk inconsistent state if agent tasks execute out of order
  • Force: Failures at early stages (e.g. git diff extraction) must abort before calling LLM APIs

Traceability

Artifact source: proposed-patterns