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SESSION9-CLEANER Workflow Narrative

Purpose and Importance​

SESSION9-CLEANER serves as the Quality Gate Keeper for CODITECT's v4 repository. As the project approaches automated build phase, maintaining pristine directory organization becomes CRITICAL. A single misplaced file can break the entire build pipeline.

Why This Workflow Matters​

1. Pre-Build Criticality​

The automated build system expects:

  • Clean root directory (no random .txt files)
  • Single main.rs per Rust component
  • Proper module hierarchy
  • No namespace conflicts

Without this: Cargo build fails, deployment blocked, project timeline derailed.

2. Multi-Session Coordination​

With 10+ active sessions creating files simultaneously:

  • Risk of file placement chaos
  • Need for real-time monitoring
  • Essential conflict prevention
  • Quality maintenance at scale

3. Technical Debt Prevention​

Immediate cleanup prevents:

  • Build system confusion
  • Import resolution failures
  • Version control conflicts
  • Documentation chaos

Workflow Logic Flow​

Every 5 Minutes: Light Monitoring​

Check Root → Log Activity → Update Status → Report Issues
↓ ↓ ↓ ↓
(Clean?) (Who created?) (JSON log) (@ORCHESTRATOR)

Why 5 minutes?: Balance between responsiveness and performance impact.

On-Demand: Deep Analysis​

Tree Snapshot → Compare Diff → Analyze Structure → Generate Report
↓ ↓ ↓ ↓
(Complete) (Changes?) (Quality score) (Recommendations)

Why tree snapshots?: Complete directory state capture enables precise change tracking.

Critical Decision Points​

1. When to Alert ORCHESTRATOR​

  • Immediate: Critical build blockers (duplicate mains, namespace conflicts)
  • Next cycle: Medium issues (version proliferation, documentation placement)
  • Daily: Quality metrics and optimization recommendations

2. When to Request Approval​

  • Always: Before moving any files
  • Process: Log request → Wait approval → Execute → Log completion
  • Why: Prevents unintended disruption of active work

3. What Constitutes "Clean"​

  • Root directory: Only essential files (CLAUDE.md, Cargo.toml, README.md)
  • Source directories: Only .rs files and proper mod.rs hierarchy
  • Documentation: Proper categorization (ADRs in docs/architecture/, guides in docs/guides/)

Integration with CODITECT Architecture​

This workflow directly supports:

  • ADR-016: CODI Rust implementation quality
  • ADR-020: Agent coordination protocols
  • Phase 0: Foundation standards compliance
  • Automated build: Clean state requirements

Success Metrics​

Immediate (Per Check)​

  • Root directory file count: ≤10
  • Critical issues found: 0
  • Response time: ≤30 seconds

Medium Term (Daily)​

  • Duplicate filename reduction: 20%
  • Version conflict elimination: 100%
  • Build readiness score: >95%

Long Term (Weekly)​

  • Zero build failures due to organization
  • 100% session compliance with file placement
  • Automated optimization recommendations

Failure Prevention​

Common Failure Modes:​

  1. Missing a critical issue: Prevented by 5-minute cycles
  2. False positive alerts: Prevented by session coordination logs
  3. Workflow drift: Prevented by JSON workflow specification
  4. Tool failure: Prevented by multiple analysis methods

Recovery Strategies:​

  1. Full directory rescan if issues missed
  2. Coordination with session creators if false positives
  3. Rollback capability for any changes made
  4. Alternative analysis tools if primary tools fail

Why JSON + Narrative Format​

JSON Workflow Benefits:​

  • Machine readable: Enables automated workflow loading
  • Database compatible: Can be stored in FoundationDB
  • Version controllable: Changes tracked in Git
  • Standardized: All agents use same format

Narrative Benefits:​

  • Human understanding: Context for why workflow exists
  • Training material: New sessions understand purpose
  • Decision documentation: Logic behind each step
  • Troubleshooting guide: When things go wrong

Integration with ORCHESTRATOR​

This workflow enables ORCHESTRATOR to:

  1. Load workflow specifications from JSON files
  2. Coordinate multiple agents with standardized protocols
  3. Track compliance via structured logging
  4. Optimize assignments based on workflow capabilities
  5. Predict conflicts before they occur

The combination of real-time monitoring + structured workflows + centralized coordination represents the CODITECT vision of AI agent orchestration in action.