Skip to content

Release v1.6.3

Choose a tag to compare

View all tags
@shinpr shinpr released this 15 Aug 02:24
· 134 commits to main since this release
v.1.6.3
ceb50dc
This commit was created on GitHub.com and signed with GitHub’s verified signature.
GPG key ID: B5690EEEBB952194
Verified
Learn about vigilant mode.

🎯 Overview

This release improves AI agent execution accuracy by enhancing how subagents reference and utilize implementation strategy documentation, ensuring more reliable autonomous execution and progress tracking.

🐛 Bug Fixes

Improved Subagent Implementation Strategy References

  • Fixed missing implementation-approach.md references in technical-designer and work-planner agents
    • Agents now properly execute Phase 1-4 of metacognitive strategy selection process
    • Vertical/horizontal slice considerations are now consistently applied
    • L1/L2/L3 verification levels are properly utilized in task decomposition

Enhanced Progress Tracking Clarity

  • Resolved progress checkbox update omissions in task-executor
    • Replaced abstract "3-location synchronized update" with concrete Edit tool instructions
    • Added progressUpdated field to structured response for better tracking visibility
    • Progress updates are now mandatory with specific tool usage requirements

🔧 Improvements

Autonomous Execution Reliability

  • task-executor now operates more reliably in autonomous mode
  • Reduced unnecessary approval requests during task execution
  • Clearer responsibility boundaries between task-executor and quality-fixer agents

📊 Technical Details

Files Modified

  • .claude/agents-ja/technical-designer.md
  • .claude/agents-ja/work-planner.md
  • .claude/agents-ja/task-executor.md
  • .claude/agents-en/technical-designer.md
  • .claude/agents-en/work-planner.md
  • .claude/agents-en/task-executor.md

Key Changes

  1. Added @docs/rules/architecture/implementation-approach.md to initial mandatory tasks
  2. Specified Phase 1-4 execution requirements for strategy selection
  3. Clarified L1/L2/L3 verification level usage in integration points
  4. Improved progress update instructions with concrete tool specifications

💡 Impact on Users

  • More accurate AI responses: Agents now better understand and apply implementation strategies
  • Fewer interruptions: Reduced approval requests in autonomous execution mode
  • Better progress visibility: Clearer tracking of task completion status
  • Consistent behavior: Same quality across Japanese and English environments
Assets 2
Loading