Deep Kanban Architecture

⚙️ AI Systemic Diagnosis (Llama-3.1 8B) "Critical Pipeline Alert: Aditya carries a massive 40-point hygiene penalty due to systematic evasion of QA processes. 39 Active Tasks lack Implementation Proofs. Furthermore, 28 items are bleeding past Overdue Dates, grinding organizational velocity down. Force immediate remediation of all undocumented Tasks."

1. Hierarchical Class Breakdown

Total Epics 9 (4 Stale)

Features 26 (11 Stale)

User Stories 68 (22 Stale)

Orphan Tasks 142 (39 Stale)

2. Synthetic Kanban Board (Current Pipeline Flow)

🧊 New / Backlog 118 Items (52% of Capacity)

🔥 Active / In-Dev 98 Items (38% of Capacity)

🧪 Resolved / Test 12 Items (6% of Capacity)

✔️ Closed (Current) 17 Items (4% of Capacity)

3. Story Point (SP) Compression Analysis

Accumulated Story Points 680 SP Active 220 SP Done

SP Decay Vectors 210 Stale Points You have 210 Story Points trapped in items that haven't been modified in over 30 days.

4. Deep Trace: Algorithmic Clones

5. Systemic Penalty Distribution (Top Triggers)

6. Strict Required Fields Protocol

🏷️ TASKS Tasks exclusively trace mathematical execution. Required fields: Start Date (Implementation) Due Date (Implementation) Attached Proof of Work Missing attachments trigger the maximum "No Proof" 20% penalty.

📘 USER STORIES User Stories measure deliverables. The engine purely scans the Acceptance Criteria block. Empty Acceptance Criteria triggers a fatal "Low Quality Desc" penalty.

👑 EPICS & FEATURES High-level hierarchy blocks. Triggers "Low Quality" penalties if the Description / Business Objective is empty, incomplete, or severely short.