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@shinpr shinpr released this 30 Sep 01:00
v1.7.12
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Learn about vigilant mode.

🎯 Highlights

This release optimizes the orchestration workflow for Claude Sonnet 4.5, addressing cognitive pattern changes in the new model to ensure reliable agent execution flow.

🔄 Model Adaptation

Claude Sonnet 4.5 Optimization

  • Adapted to new cognitive patterns in Claude Sonnet 4.5 (claude-sonnet-4-5-20250929)
  • Prevented workflow step skipping that emerged with the updated model
  • Enhanced main AI orchestrator behavior for improved agent coordination

Problem Identified

With Claude Sonnet 4.5, the main AI orchestrator exhibited a new cognitive pattern:

  • Used [Stop] markers as visual anchors for workflow navigation
  • When markers were distant (e.g., Step 4 [Stop] → Step 6 [Stop]), intermediate steps (Step 5) appeared optional
  • Result: acceptance-test-generator was skipped, proceeding directly to work-planner

Root Cause Analysis

The model's information processing changed:

  • Previous behavior: Sequential step execution
  • New behavior: Anchor-based navigation between stopping points
  • Gap: Steps without explicit orchestrator actions became "invisible"

✨ Improvements

Explicit Main AI Verification Step

Added structured verification between acceptance-test-generator and work-planner:

Workflow Enhancement (Large/Medium Scale):

5. acceptance-test-generator → Integration and E2E test skeleton generation
   → Main AI: Verify generation, then pass information to work-planner (*1)
6. work-planner → Work plan creation (including integration and E2E test information)

Detailed Verification Checklist (Information Bridging section):

  • Purpose: Prepare information for work-planner to incorporate into work plan
  • Main AI verification items:
    • Verify integration test file path retrieval and existence
    • Verify E2E test file path retrieval and existence
  • Pass to work-planner:
    • Integration test file: [path] (create and execute simultaneously with each phase)
    • E2E test file: [path] (execute only in final phase)
  • On error: Escalate to user if files are not generated

🔧 Technical Details

Design Philosophy

"Information Bridge Confirmation" approach instead of user approval:

  • Mechanically verifiable: File path retrieval and existence checks
  • No human interruption: Automated verification by main AI orchestrator
  • Maintains flow efficiency: One fewer approval step while ensuring reliability

Implementation Strategy

  • Causal relationship enforcement: "Verify generation, then pass information"
  • Reference structure: (*1) links flow description to detailed checklist
  • DRY principle: Information defined once, referenced from multiple locations
  • Machine-parseable: Structured with clear headings and bullet points

Files Modified

  • docs/guides/ja/sub-agents.md (Japanese environment)
  • docs/guides/en/sub-agents.md (English environment)

For more details, see the commits in feat/strict-test-process

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