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[WIP] Delegate tasks to cloud agent for execution#1410

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[WIP] Delegate tasks to cloud agent for execution#1410
Copilot wants to merge 1 commit intomainfrom
copilot/delegate-to-cloud-agent

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Copilot AI commented Feb 27, 2026

Cloud agent has begun work on Delegate: "Delegate ... and will update this pull request as work progresses.

Original prompt

Delegate: "Delegate to cloud agent"

[Chronological Review: The conversation began with the user requesting a summary of top ADO work items related to a specific board. The user then shifted focus to generating a mega prompt for GitHub Copilot, detailing tasks and relevant information for parallel execution by agents. Following this, the user requested to proceed with the execution of the mega prompt in the Azure/PyRIT repository. The conversation culminated in a command to delegate the task to a cloud agent.]

[Intent Mapping:

  1. "summarize the top ado work items and what I should work on" - User seeks clarity on priorities from a specific ADO board.
  2. "Generate a mega prompt for use by fleet mode github copilot" - User wants to create a comprehensive prompt for task execution.
  3. "Proceed with mega-prompt execution in the Azure/PyRIT repo" - User intends to initiate the execution of the generated prompt.
  4. "Delegate: 'Delegate to cloud agent'" - User aims to assign the task to a cloud agent for processing.]

[Technical Inventory:

  • ADO (Azure DevOps): Used for tracking work items and project management.
  • GitHub Copilot: AI tool for code suggestions and task automation.
  • Azure/PyRIT: The repository where the mega prompt execution is to take place.
  • Fleet mode: A mode for parallel task execution by multiple agents.]

[Code Archaeology:

  • File: fleet-mega-prompt.md
  • Purpose: To create a detailed prompt for GitHub Copilot to facilitate task execution.
  • Current State: The file is being populated with tasks and relevant details for execution.
  • Key Code Segments: Not specified in the conversation but likely includes structured prompts for AI agents.]

[Progress Assessment:

  • Completed Tasks: The user has outlined the need for a mega prompt and initiated its execution.
  • Partially Complete Work: The mega prompt is in the process of being executed, and delegation to a cloud agent has been requested.
  • Validated Outcomes: No specific outcomes have been confirmed yet as the execution is ongoing.]

[Context Validation: All necessary context for continuing work on the mega prompt and delegation to the cloud agent is captured.]

[Recent Commands Analysis:

  • Last Agent Commands:
    1. "Proceed with mega-prompt execution in the Azure/PyRIT repo" - Initiated the execution of the mega prompt.
    2. "Delegate: 'Delegate to cloud agent'" - Assigned the task to a cloud agent.
  • Tool Results Summary: No specific results were returned from the execution commands as they were initiation commands.
  • Pre-Summary State: The agent was actively working on executing the mega prompt and delegating tasks when the token budget was exceeded.
  • Operation Context: These commands were executed to streamline task management and leverage AI capabilities for efficient project execution.]
1. Conversation Overview: - Primary Objectives: 1. "summarize the top ado work items and what I should work on" - User seeks clarity on priorities. 2. "Generate a mega prompt for use by fleet mode github copilot" - User wants to create a comprehensive prompt for task execution. 3. "Proceed with mega-prompt execution in the Azure/PyRIT repo" - User intends to initiate the execution of the generated prompt. 4. "Delegate: 'Delegate to cloud agent'" - User aims to assign the task to a cloud agent. - Session Context: The conversation transitioned from summarizing ADO work items to creating and executing a mega prompt for GitHub Copilot, culminating in delegating the task to a cloud agent. - User Intent Evolution: The user initially sought task prioritization, then moved to automation and delegation for efficiency.
  1. Technical Foundation:
  • ADO: Azure DevOps for project management and work item tracking.
  • GitHub Copilot: AI tool for code suggestions and task automation.
  • Azure/PyRIT: The repository for executing the mega prompt.
  • Fleet mode: A mode for parallel task execution by multiple agents.
  1. Codebase Status:
  • File Name: fleet-mega-prompt.md
  • Purpose: To create a detailed prompt for GitHub Copilot.
  • Current State: The file is being populated with tasks and relevant details for execution.
  • Key Code Segments: Not specified but likely includes structured prompts for AI agents.
  1. Problem Resolution:
  • Issues Encountered: No specific issues were mentioned, but the need for task prioritization and automation was highlighted.
  • Solutions Implemented: The user has initiated the creation and execution of a mega prompt.
  • Debugging Context: No ongoing troubleshooting efforts were noted.
  • Lessons Learned: The importance of structured prompts for effective AI task execution.
  1. Progress Tracking:
  • Completed Tasks: The user has outlined the need for a mega prompt and initiated its execution.
  • Partially Complete Work: The mega prompt is in the process of being executed, and delegation to a cloud agent has been requested.
  • Validated Outcomes: No specific outcomes have been confirmed yet.
  1. Activ...

Created from VS Code.


💡 You can make Copilot smarter by setting up custom instructions, customizing its development environment and configuring Model Context Protocol (MCP) servers. Learn more Copilot coding agent tips in the docs.

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