docs: Add DOD/Immediate Mode heuristics and backlog future tracks
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TASKS.md
13
TASKS.md
@@ -87,4 +87,17 @@ To ensure smooth execution, execute the tracks in the following order:
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5. `testing_consolidation_20260302` (Refactors testing methodology; depends on tech debt cleanup)
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6. `conductor_workflow_improvements_20260302` (Meta-level updates to skills/workflow docs; can be run anytime)
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---
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## Future Backlog (Post-Cleanup)
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*To be evaluated in a future Tier 1 session after the immediate tech debt queue is cleared.*
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### `gui_decoupling_controller`
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**Context:** `gui_2.py` is over 3,500 lines and operates as a Monolithic God Object. It violates the "Data-Oriented & Immediate Mode" heuristics by owning complex business logic, orchestrator hooks (`_bg_create_track`), and markdown file building instead of acting as a pure view.
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**Goal:** Create a headless `orchestrator_pm.py` or `app_controller.py` that handles the core lifecycle, allowing `gui_2.py` to be a lagless, immediate-mode projection of the state.
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### `robust_json_parsing_tech_lead`
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**Context:** In `conductor_tech_lead.py`, the `generate_tickets` function relies on a generic `try...except` block to parse the LLM's JSON ticket array. If the model hallucinates or outputs invalid JSON, it silently returns an empty array `[]`, causing the GUI to fail the track creation process without giving the model a chance to self-correct.
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**Goal:** Implement a programmatic retry loop that catches `JSONDecodeError` and feeds the error back to the Tier 2 model for self-correction before failing the UI operation.
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