# Specification: Comprehensive Codebase Curation & Style Alignment (codebase_curation_20260507)

## Overview
Aggressive pruning, optimization, and standardization of the codebase. This track uses the findings from the Code Path Analysis and other Phase 5 audits to trim away non-essential logic, data, and processing while strictly enforcing the project's technical integrity standards.

## Foundational Context (MANDATORY REVIEW)
All curation efforts MUST be informed by the following Phase 5 analysis reports:
- `docs/PIPELINE_ANALYSIS_PHASE5_INIT.md`: Processing route and pipeline mapping.
- `docs/STATE_INVENTORY_PHASE5.md`: Core data structure and property inventory.
- `docs/MUTATION_MATRIX_PHASE5.md`: Thread-safe state modification and lock map.
- `docs/CULLING_CANDIDATES_PHASE5.md`: Identified redundant symbols, modules, and structures.

## Granular Care & Regression Guardrails
- **Surgical Execution:** Changes must be applied file-by-file with extreme granularity. No bulk culling without individual justification.
- **Regression Monitoring:** Continuous verification of behavioral integrity. Any unintended entropy or performance degradation must trigger an immediate halt and review.
- **Traceability:** Every removed line must be cross-referenced against the culling audit or pipeline map.

## Scope
- **Target Files:** All `.py` files in `./src` and `./simulation`.
- **Primary Goal:** Trimming the "slop" (redundancies, dead code, excessive complexity).

## Functional Requirements
1.  **Redundancy Pruning:** Eliminate duplicate logic across different data pipelines.
2.  **Dead Code Removal:** Strip out legacy "just-in-case" code and unused processing paths.
3.  **Strict Style Enforcement:**
    - Universal 1-space indentation.
    - CRLF line endings.
    - Standardized type hinting.
4.  **Guideline Alignment:** Refactor any code that deviates from `product-guidelines.md` (e.g., ensuring explicit composition over complex inheritance).
5.  **Validation:** Ensure no loss of functionality or performance degradation.

## Acceptance Criteria
- [ ] Significant reduction in total codebase line count (where applicable).
- [ ] 100% pass on style audit (`scripts/ai_style_formatter.py`).
- [ ] All remaining code is mapped to a necessary functional requirement or performance goal.