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📚 Update docs to goal-focused approach and remove yarn
optimal-development-workflow.md:
- Remove prescriptive bash code from worktree setup, PR creation,
and bot feedback loop sections
- Convert to goal-focused descriptions matching autotask.md style
- Clarify what happens without showing how (goals over process)
README.md:
- Remove yarn references (standardize on npm)
- Update requirements to be more accurate
- Remove "Git with worktrees support" (obvious)
Addresses bot feedback: "Clarify bot feedback pseudo-code is
illustrative" by removing it entirely and using goal-focused
descriptions instead.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
Create isolated development environment in `.gitworktrees/` with sanitized branch name. Run `/setup-environment` to install dependencies, copy environment files, and set up git hooks (husky or pre-commit).
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### Phase 3: Autonomous Execution
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@@ -99,74 +92,17 @@ Automatically follows all `.cursor/rules/*.mdc` standards.
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### Phase 5: Create PR
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```bash
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# Commit with proper message format
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git add .
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git commit -m "feat: Add OAuth2 authentication
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- Implement OAuth2 flow with token refresh
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- Add email/password fallback
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- Session management middleware
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- Test coverage: 97%
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🤖 Generated with Claude Code
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"
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Create commits following `.cursor/rules/git-commit-message.mdc` standards (emoji prefix, imperative verb, clear description, co-author line). Push to feature branch and create pull request with comprehensive description covering changes, rationale, trade-offs, and testing approach.
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# Push to origin
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git push -u origin feature/task-name
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### Phase 6: Bot Feedback Loop
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# Create PR
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gh pr create \
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--title "Add OAuth2 authentication" \
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--body "Summary of changes..."
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```
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**This is the key innovation** - autonomously handle bot feedback without waiting for human intervention.
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### Phase 6: Bot Feedback Loop
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After creating the PR, wait 3 minutes for AI code review bots to complete initial analysis. Check for bot comments using GitHub API. Evaluate each piece of feedback critically - you have context bots lack (project standards, implementation rationale, trade-offs, requirements).
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**This is the key innovation** - don't wait for you, autonomously handle bot feedback:
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Fix what's valuable (security issues, real bugs, good suggestions). Reject what's not (use WONTFIX with brief explanation for context-missing or incorrect feedback). You are the ultimate decider.
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