t217: Enforce Task tool parallelism for independent subtasks in worker dispatch#2621
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…r dispatch prompt
Strengthens the Worker Efficiency Protocol point 5 from advisory ('can use')
to mandatory ('MUST use') with clear criteria for when to parallelise vs stay
sequential, concrete wrong/right examples, and throughput impact data.
Also adds a parallelism rule reference in full-loop.md Step 3 (Task Development)
so workers see the requirement during their main implementation phase.
Summary of ChangesHello, I'm Gemini Code Assist1! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed! This pull request significantly enhances worker efficiency by mandating the parallel execution of independent subtasks using the Task tool. It provides comprehensive guidelines, including clear criteria for when to parallelize and when to maintain sequential execution, supported by practical code examples and data illustrating substantial wall-clock time savings. The changes aim to streamline task development and execution by embedding these efficiency requirements directly into the workflow documentation. Highlights
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WalkthroughThis PR enforces mandatory parallelization of independent subtasks in worker dispatch guidance. It upgrades parallelism from optional to required in headless-dispatch.md and adds parallel execution rules to full-loop.md, including detailed conditions, examples, and throughput justifications to reduce wall-clock time. Changes
Estimated code review effort🎯 3 (Moderate) | ⏱️ ~22 minutes Possibly related PRs
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Code Review
This pull request significantly improves the documentation by making parallelism for independent subtasks a mandatory rule, providing clear guidelines and examples. My feedback includes two minor suggestions to further clarify the rules for when to parallelize quality checks and when to maintain sequential execution to avoid race conditions, making the instructions even more robust for the AI workers.
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| **When to parallelise** (use Task tool with multiple concurrent calls): | ||
| - Reading/analyzing multiple independent files or directories | ||
| - Running independent quality checks (lint + typecheck + test) |
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This is a good list of examples. To avoid ambiguity, it's worth clarifying that these quality checks should be parallelized only when they are read-only operations. If they include auto-fixing capabilities (e.g., lint --fix), they become write operations and may need to be sequential if they modify the same files, as per the rules in the 'When to stay sequential' section.
| - Running independent quality checks (lint + typecheck + test) | |
| - Running independent read-only quality checks (e.g., lint, typecheck, tests) |
References
- When documenting restrictions, provide the technical reason behind them to improve understanding.
- When documenting a critical process, explain the reasoning behind rules.
- When documenting agent behavior, restore detailed explanations for key concepts with examples for clarity.
| - Any two+ operations where neither depends on the other's output | ||
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| **When to stay sequential** (do NOT parallelise): | ||
| - Operations that modify the same files (merge conflicts) |
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The parenthetical (merge conflicts) might be too specific and could be misinterpreted as only applying to situations that would cause a git merge conflict. The underlying principle is to avoid any file-based race conditions (write-write, read-write, or write-read). A more general phrasing would be clearer for the AI worker.
| - Operations that modify the same files (merge conflicts) | |
| - Operations that write to the same files, or where one task reads a file modified by another. |
References
- When documenting restrictions, provide the technical reason behind them to improve understanding.
- When documenting a critical process, explain the reasoning behind rules.
- When documenting agent behavior, restore detailed explanations for key concepts with examples for clarity.
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Summary
full-loop.mdStep 3 (Task Development) so workers see the requirement during their main implementation phaseCloses #2618
Changes
.agents/tools/ai-assistants/headless-dispatch.mdAll work sequential → 3x slower for 3 independent tasks.agents/scripts/commands/full-loop.mdSummary by CodeRabbit