Pattern Proposal: Declarative Pipeline Flow Runner

Summary

Executes multi-step governance and architectural synthesis workflows through a deterministic pipeline passing unified context.

Candidate Pattern

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

Observed Signals

No specific signals listed.

Evidence

Supporting Evidence

• src/cas_runner/runner.py (FlowRunner) - Main execution engine for architecture flows
• src/cas_runner/cli.py (main) - Command line interface dispatching into FlowRunner

Scope Assessment

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

Rationale

• Intent: Coordinate multi-stage architectural processing (diff parsing, rule validation, LLM synthesis, artifact generation) with consistent state propagation.
• Context: The core runtime entrypoint invoked by the CLI to perform continuous architecture runs.
• Force: Autonomous dynamic loops can become unstable or difficult to reproduce
• Force: Execution context must be uniformly available to LLM and non-LLM steps alike

Traceability

Artifact source: proposed-patterns