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Workflow status for the release pipeline · Stable = latest tagged production release · Edge = rolling prerelease built from <code>main</code>
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</p>
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<!-- markdownlint-enable MD033 MD041 -->
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Copilot Cockpit helps you plan AI work, approve it, and then run it with visible checkpoints instead of handing your repo to a blind autonomous loop.
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The strongest demo is not claiming the repo can run itself. It is showing bounded recurring work that a person would actually keep: scouting opportunities, checking delivery risk, packaging knowledge, and then stopping for review.
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## 🎬 Demo
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This GIF is a fast overview of the product surface. Use the feature tour below for the slower tab-by-tab explanation.
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For the step-by-step walkthrough, open [docs/feature-tour.md](docs/feature-tour.md).
If the embedded image does not render in your viewer, open [images/DEMO.gif](images/DEMO.gif) directly.
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## Why It Exists
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That matters most when the repo keeps producing more work than any one person can hold in memory: bugs, feature ideas, follow-up changes, security updates, web findings, pricing checks, customer tasks, or research that should turn into implementation later. Copilot Cockpit turns those discoveries into a visible queue so work can be found again and handled properly instead of getting lost between chat sessions.
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## 🎬 Demo
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This GIF is a fast overview of the product surface. Use the feature tour below for the slower tab-by-tab explanation.
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For the step-by-step walkthrough, open [docs/feature-tour.md](docs/feature-tour.md).
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If the embedded image does not render in your viewer, open [images/DEMO.gif](images/DEMO.gif) directly.
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## 🧠 The Core Loop
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Think of Copilot Cockpit as a local control system for structured AI work:
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Note: Custom subagents must be enabled in //settings/chat.customAgentInSubagent.enabled of github copilot plugin
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```mermaid
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flowchart TD
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A[User request or Todo Cockpit item] --> B[CEO or orchestrator]
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B --> C[Initial review and repo research]
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C --> D{Next best route}
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D --> E[Planner when sequencing or validation needs design]
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D --> F[Direct specialist for bounded work]
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D --> G[Cockpit Todo Expert for durable approval or board state]
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E --> H[Execution-ready handoff with files, constraints, and acceptance criteria]
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F --> H
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H --> I[Specialist runs bounded work and validates its slice]
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I --> J[CEO reviews returned work and closeout quality]
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J --> K[Todo Cockpit or user approval surface]
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K --> L[Next action, schedule, or final closeout]
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```
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The optional layer stays practical because responsibilities are split deliberately:
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### How To Use
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`How To Use` is the built-in onboarding tab. Start there if you want a guided explanation of the operating model before you schedule anything, then use `Plan Integration` to inspect existing repo-local agent surfaces before you approve any manual bundled-agent sync. That optional agent layer is useful when you want the orchestrator to receive the task, do the initial repo framing, delegate bounded work to the right repo-local or starter-pack specialist, and then validate the returned result instead of carrying the full implementation loop in one long chat.
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`How To Use` is the built-in onboarding tab. Start there if you want a guided explanation of the operating model before you schedule anything. You can also launch the same walkthrough from the top bar with `Intro Tutorial`, then use the top-bar `Plan Integration` button to inspect existing repo-local agent surfaces before you approve any manual bundled-agent sync. That optional agent layer is useful when you want the orchestrator to receive the task, do the initial repo framing, delegate bounded work to the right repo-local or starter-pack specialist, and then validate the returned result instead of carrying the full implementation loop in one long chat.
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## Common Workflows
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## ⚡ Quick Start
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1. Open Copilot Cockpit from the activity bar or run `Copilot Cockpit: Create Scheduled Prompt (GUI)` from the command palette.
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2. Start in `How To Use` if you are new to the extension.
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1. Open Copilot Cockpit from the activity bar or run `Copilot Cockpit: Create Scheduled Prompt (GUI)` from the command palette. Or use the todo-list icon in the top right.
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2. Start in `How To Use` if you are new to the extension, or click the top-bar `Intro Tutorial` button for the same guided walkthrough.
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3. Capture or refine work in `Todo Cockpit`.
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4. Move approved work into `ready` to prepare a task draft.
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5. Use `Tasks` for one execution unit, `Jobs` for multi-step flows, and `Research` for benchmark-driven iteration.
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### 📦 From Release
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1. Download the latest VSIX from the [GitHub releases page](https://github.com/goodguy1963/Copilot-Cockpit/releases)
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Choose the channel you want:
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-`Stable` is the safer tagged release for normal use.
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-`Edge` is the rolling prerelease channel for the newest changes from `main`.
1. Download the VSIX from the [stable release page](https://github.com/goodguy1963/Copilot-Cockpit/releases/latest) or the [edge prerelease page](https://github.com/goodguy1963/Copilot-Cockpit/releases/tag/edge)
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2. Run `Extensions: Install from VSIX...` in VS Code.
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The practical goal is simple: keep the top-level orchestrator clean, give specialists a better handoff, and return final validation through a visible approval surface instead of one bloated generalist chat loop.
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```mermaid
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flowchart TD
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A[User request or Todo Cockpit item] --> B[CEO or orchestrator]
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B --> C[Initial review and repo research]
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C --> D{Next best route}
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D --> E[Planner when sequencing or validation needs design]
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D --> F[Direct specialist for bounded work]
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D --> G[Cockpit Todo Expert for durable approval or board state]
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E --> H[Execution-ready handoff with files, constraints, and acceptance criteria]
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F --> H
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H --> I[Specialist runs bounded work and validates its slice]
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I --> J[CEO reviews returned work and closeout quality]
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J --> K[Todo Cockpit or user approval surface]
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K --> L[Next action, schedule, or final closeout]
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```
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## What This Layer Is For
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Use the optional agent workflow when the work benefits from a clear split between orchestration and execution.
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See [workflows.md](./workflows.md) for the core execution surfaces and [architecture-and-principles.md](./architecture-and-principles.md) for the higher-level design intent.
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- Start there if you are opening the extension for the first time.
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- Use it to understand the planning versus execution model before scheduling anything.
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- You can reopen the same guided flow from the top bar with `Intro Tutorial`, and use the top-bar `Plan Integration` button when you are ready to inspect repo-local agent surfaces.
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Best for: first-time users who want the operating model before the controls.
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## Quick Start
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1. Open Copilot Cockpit from the activity bar or with `Copilot Cockpit: Create Scheduled Prompt (GUI)`.
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2. Start in `How To Use` if you are new to the extension.
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2. Start in `How To Use` if you are new to the extension, or click the top-bar `Intro Tutorial` button for the same walkthrough.
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3. Capture or refine work in `Todo Cockpit`.
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4. Move approved work into a task draft when the item is `ready`.
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5. Use `Tasks` for one execution unit, `Jobs` for ordered multi-step execution, and `Research` for benchmark-driven iteration.
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6. Open `Settings` to configure repo-local defaults and integrations.
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6. Open `Settings` to configure repo-local defaults and integrations, and use the top-bar `Plan Integration` button when you are ready to inspect or design the repo-local agent setup.
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