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updated README graphics

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  1. README_CoderG_05182026.md +6 -3
README_CoderG_05182026.md CHANGED
@@ -41,6 +41,7 @@ CoderG bypasses monolithic script patterns by delegating tasks across highly spe
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  > The blueprint maps out the decoupled Manager-Worker design pattern, illustrating presentation layer's controlling specialized modules while piping structural logs to an audit trail
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  +---------------------------------------+
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  | app.py (Manager) | <--- Gradio Presentation Control
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  +---------------------------------------+
@@ -60,7 +61,7 @@ CoderG bypasses monolithic script patterns by delegating tasks across highly spe
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  | agent_logging.py (Audit) | ---> outputs/agent.log
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  +---------------------------------------+
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- ---
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  ## 📐 System Flowchart & Interaction Model
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  > The flowchart tracks the - Run-time Execution Flow - exact lifecycle of a user request, tracing token streaming, workspace generation, remote repository initialization, and the final zero-footprint directory purge.
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  [ User Input ]
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  |
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  v
@@ -93,8 +95,7 @@ The architectural diagram below traces an instruction's path as it travels throu
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  +------------+
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  | temp_repo/ | ---> Purges Folder Completely on Termination (Zero Footprint)
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  +------------+
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-
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- ---
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  ### Module Component Breakdown/Descriptions
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  1. **`app.py` (Control Tower / UI Layer):** A 3-column asymmetric Gradio interface managing dynamic conversation sessions, asynchronous text streaming execution, state tracking, and explicit telemetry log piping.
@@ -255,6 +256,7 @@ _Awaiting local environment staging completion..._
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  Because the application separates Generation (core_logic.py) from Transport (git_agent.py), the workspace naturally freezes in a secure state until a human interacts with it.
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  [ Step 1: Model Streams Content ]
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@@ -277,6 +279,7 @@ User clicks "Approve User types a adjustment
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  ▼ ▼
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  `git_agent` executes `core_logic` overwrites
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  and flushes workspace staging with updated data
 
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  **In a Gist:**
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  > The blueprint maps out the decoupled Manager-Worker design pattern, illustrating presentation layer's controlling specialized modules while piping structural logs to an audit trail
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+ ```
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  +---------------------------------------+
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  | app.py (Manager) | <--- Gradio Presentation Control
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  +---------------------------------------+
 
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  | agent_logging.py (Audit) | ---> outputs/agent.log
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  +---------------------------------------+
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+ ```
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  ## 📐 System Flowchart & Interaction Model
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  > The flowchart tracks the - Run-time Execution Flow - exact lifecycle of a user request, tracing token streaming, workspace generation, remote repository initialization, and the final zero-footprint directory purge.
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+ ```
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  [ User Input ]
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  |
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  v
 
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  +------------+
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  | temp_repo/ | ---> Purges Folder Completely on Termination (Zero Footprint)
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  +------------+
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+ ```
 
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  ### Module Component Breakdown/Descriptions
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  1. **`app.py` (Control Tower / UI Layer):** A 3-column asymmetric Gradio interface managing dynamic conversation sessions, asynchronous text streaming execution, state tracking, and explicit telemetry log piping.
 
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  Because the application separates Generation (core_logic.py) from Transport (git_agent.py), the workspace naturally freezes in a secure state until a human interacts with it.
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+ ```
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  [ Step 1: Model Streams Content ]
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  ▼ ▼
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  `git_agent` executes `core_logic` overwrites
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  and flushes workspace staging with updated data
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+ ```
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  **In a Gist:**
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