manual_slop/conductor/archive/code_path_analysis_20260507/spec.md

Specification: Code Path & Data Pipeline Analysis (code_path_analysis_20260507)

Overview

A deep architectural audit focused on mapping the "processing routes" and "data pipelines" of the Manual Slop codebase. This analysis will treat the program as a series of data-driven pipelines (similar to Ryan Fleury's model), identifying exactly how data flows through ./src and ./simulation.

Scope

• Core Codebase: ./src
• Simulation Infrastructure: ./simulation
• Granularity: Both high-level module interactions and detailed function-to-function execution flows.

Functional Requirements

1. Pipeline Mapping:
   • Identify major execution "routes" (e.g., UI Event Loop, AI Tool-Call Loop, Context Aggregation Pipeline).
   • Map these routes from entry point to terminal state.
2. Data Responsibility Audit:
   • For every major path, define which data structures it owns, modifies, or depends upon.
   • Identify state boundaries and potential "data leaks" or redundant processing.
3. Simulation Pipeline Audit:
   • Fully map the lifecycle of a simulation: State Setup -> Agent Injection -> Execution Loop -> Verification -> Cleanup.
4. Automated Extraction:
   • Utilize MCP tools and potentially custom tree-sitter scripts to verify call graphs and data dependencies.

Acceptance Criteria

• Comprehensive PIPELINE_ANALYSIS.md report created in the root.
• Mermaid flowcharts documenting every major processing route.
• Data responsibility table for all mapped paths.
• Full mapping of the ./simulation pipeline.