Add adaptive review workflow and XML naming standards #3
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Restructured README to emphasize autonomous task execution (`/autotask`), introduced specialist agents (Dixon, Ada, Phil, Rivera, Petra), and expanded setup documentation with detailed implementation guides. Reflects evolution from manual configuration to intelligent automation with LLM-optimized standards and adaptive agent deployment.
Restructured README to emphasize autonomous task execution (`/autotask`), introduced specialist agents (Dixon, Ada, Phil, Rivera, Petra), and expanded setup documentation with detailed implementation guides. Reflects evolution from manual configuration to intelligent automation with LLM-optimized standards and adaptive agent deployment. Key improvements: - Autonomous workflow spotlight with /autotask command - Named agent introductions (Dixon, Ada, Phil, Rivera, Petra) - Complete command reference including new commands - Prompt engineering framework section - Better structured for quick scanning - Professional but accessible tone 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
Comprehensive documentation for `/autotask` autonomous workflow: - Adaptive validation & review that scales with task complexity - 7-phase workflow from task to PR-ready state - Intelligent agent orchestration (Dixon, Ada, Phil, Rivera, Petra) - Leverages existing git hooks instead of custom validation Enhanced prompt engineering standards: - Semantic XML tag naming (not numbered) - Prevents brittle tag structures that break on reordering - Clear examples and rationale for LLM-to-LLM communication Key philosophy: - Review intensity matches risk/complexity - Simple beats complex - Human control, AI preparation 🤖 Generated with Claude Code Co-Authored-By: Claude <noreply@anthropic.com>
![cursor[bot]](https://avatars.githubusercontent.com/in/1210556?s=60&v=4){kind=small}
PR Review: Adaptive Review Workflow and XML Naming StandardsThank you for this comprehensive PR! I've reviewed the changes and have organized my feedback into several categories. Overall, this is a well-thought-out addition that significantly enhances the autonomous development workflow. 🎯 SummaryThis PR introduces a sophisticated ✅ Strengths
🔍 Code Quality IssuesCritical Issues1. Syntax Error in
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- Fix bash syntax errors in validation-and-review section
- Fix four-backtick code fence formatting
- Fix hardcoded {owner}/{repo} with dynamic repo detection
- Change sleep to 3 minutes for bot feedback (180s)
- Add repository info detection for gh api calls
- Improve error handling with actual fix attempts
Addresses feedback from automated code review.
🤖 Generated with Claude Code
Co-Authored-By: Claude <noreply@anthropic.com>
Code Review: Adaptive Review Workflow and XML Naming StandardsThank you for this thoughtful PR! The workflow and adaptive review system represent a significant enhancement to the project's autonomous development capabilities. I've reviewed the changes according to the project's standards in CLAUDE.md and have the following feedback: 🎯 Overall AssessmentStrengths:
Areas for Consideration: 📋 Detailed Feedback1. Code Quality & Best Practices
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Critical fixes: - Remove duplicate <validation-and-review> opening tag (XML syntax) - Fix git hook detection bug (check directory not file) - Add command injection protection for task descriptions - Improve shell metacharacter validation These fixes address the second round of bot review feedback, demonstrating the autonomous feedback handling workflow. 🤖 Generated with Claude Code Co-Authored-By: Claude <noreply@anthropic.com>
| echo "🔐 Setting up environment configuration..." | ||
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| # Get the main working directory (parent of .gitworktrees) | ||
| MAIN_DIR=$(git worktree list --porcelain | grep "^worktree" | head -1 | cut -d' ' -f2) |
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Bug: Git Worktree Order: Main Repository Detection Flawed
The git worktree list command output order is not guaranteed, so using head -1 to identify the main directory is unreliable. The principal worktree may not be first, causing the script to reference the wrong repository when copying environment files and configuration. Instead, use git rev-parse --git-common-dir or navigate to find the actual main repository directory.
Code Review: Adaptive Review Workflow and XML Naming StandardsThank you for this comprehensive PR! The autonomous development workflow and enhanced documentation represent significant value additions to the project. Here's my detailed review: Strengths1. Excellent Documentation Quality
2. Strong Architectural Decisions
3. Meta-ExcellenceThis PR practices what it preaches—created using the workflow it documents, demonstrating the concepts work in practice. Issues & RecommendationsCritical: Security ConcernShell Injection Vulnerability (autotask.md:56-70) The current implementation has a command injection vulnerability: TASK_NAME="{{TASK_DESCRIPTION}}"
if echo "$TASK_NAME" | grep -q '[;& |`$(){}]'; then
echo "⚠️ Task description contains shell metacharacters - sanitizing..."
fi
BRANCH_NAME=$(echo "$TASK_NAME" | \
tr '[:upper:]' '[:lower:]' | \
sed 's/[^a-z0-9]/-/g' | \
# ...Problem: The code detects dangerous characters but doesn't actually sanitize them before use. An attacker could provide a task description like: The warning would print, but Recommendation: Actually sanitize before any use: # Sanitize immediately
TASK_NAME_RAW="{{TASK_DESCRIPTION}}"
TASK_NAME=$(echo "$TASK_NAME_RAW" | tr -cd '[:alnum:][:space:]-_')
BRANCH_NAME=$(echo "$TASK_NAME" | \
tr '[:upper:]' '[:lower:]' | \
sed 's/[^a-z0-9]/-/g' | \
sed 's/--*/-/g' | \
sed 's/^-//' | \
sed 's/-$//' | \
cut -c1-60)Medium Priority1. Incomplete Bot Feedback Implementation (autotask.md:432-433)# [Intelligent processing of feedback and fixes here]
# Using appropriate agents to address specific feedbackThis placeholder needs implementation or clear documentation that this is a template. Users following this as executable code will hit a gap. Recommendation: Either implement the logic or add explicit guidance: # TODO: Implement intelligent bot feedback processing
# For now, this requires manual review of bot comments and applying fixes
# Future: Use Task tool to route feedback to appropriate agents2. Error Handling Could Be More Robust (autotask.md:489-520)The error handling shows options but doesn't implement automatic recovery paths. For a truly autonomous workflow, consider:
3. Git Hooks Assumption (setup-environment.md:175-184)echo "Testing git hooks..."
if [ -d ".husky" ]; then
echo " Running Husky pre-commit hooks..."
npx husky run pre-commit && echo " ✓ Husky hooks working" || echo " ⚠️ Some checks failed (fixing...)"The "fixing..." message implies automatic fixes will happen, but the script doesn't actually fix anything. This could confuse users. Recommendation: Either implement the auto-fix or change messaging to be clearer about manual intervention needed. Minor Issues1. Inconsistent Terminology
Recommendation: Pick one term per concept and use consistently throughout. 2. Missing Rate Limiting DiscussionThe bot feedback loop (autotask.md:385-458) makes repeated GitHub API calls without mentioning rate limits. For projects with many bot reviewers, this could hit limits. Recommendation: Add note about rate limiting and consider implementing exponential backoff. 3. Hardcoded Sleep Durationssleep 180 # 3 minutes
sleep 90 # 90 secondsDifferent projects/CI setups have wildly different run times. Consider making these configurable or using smarter polling. 4. XML Tag Nesting in autotask.mdLines 27-46 have this structure: <task-preparation>
<task-analysis>
<use-agent-if-complex>Three levels of nesting might be excessive. The content could work with flatter structure: <task-preparation>
Analyzing complexity...
</task-preparation>
<use-agent-if-complex>
If complex, use create-prompt agent...
</use-agent-if-complex>This follows your own guideline about tags enhancing clarity without adding unnecessary complexity. Code QualityExcellent
Good
Testing Recommendations
Performance ConsiderationsThe bot feedback loop's polling strategy could be optimized:
For the intended use case (autonomous development), current approach is acceptable. Documentation QualityExceptional. The workflow guide (
SummaryThis is strong work with a critical security issue that must be addressed before merging. The conceptual framework is excellent, the documentation is comprehensive, and the architectural decisions are sound. Blocking Issues
Should Address
Nice to Have
Once the shell injection issue is resolved, this will be ready to merge. The value it brings to autonomous development workflows is substantial. Recommendation: Fix the security issue, address the bot feedback placeholder, then merge. The other items can be handled in follow-up PRs. |
Removed unnecessary timing and metrics from output: - Total time - Agents used - Test coverage - Bot feedback cycles Focus on what matters: PR link and next steps. 🤖 Generated with Claude Code Co-Authored-By: Claude <noreply@anthropic.com>
Actually sanitize task description input, not just warn. Use tr -cd to strip dangerous characters immediately. Addresses critical security issue from bot review. 🤖 Generated with Claude Code Co-Authored-By: Claude <noreply@anthropic.com>
Pull Request Review: Adaptive Review Workflow and XML Naming StandardsThank you for this comprehensive PR! I've reviewed the implementation of the adaptive validation & review system, and overall this is excellent work. The autonomous workflow concept is innovative and the documentation is thorough. ✅ StrengthsDocumentation Quality
Code Quality
Architecture
🔍 Issues Found1. Security: Incomplete Shell Injection Protection (Medium)Location: The shell metacharacter validation warns but doesn't actually sanitize: if echo "$TASK_NAME" | grep -q '[;& |\$(){}]'; then
echo "❌ Task description contains dangerous characters. Please use only letters, numbers, spaces, and hyphens."
exit 1
fiSeverity: Medium - Could allow command injection if malicious input provided 2. Bug: Hardcoded Repository Placeholder (High)Location: and The bot feedback section uses placeholder that won't be replaced: REPO=$(gh repo view --json nameWithOwner -q .nameWithOwner)
# Good\! But this is used in autotask.md
# However in optimal-development-workflow.md:142:
gh api repos/{owner}/{repo}/pulls/$PR_NUMBER/comments
# This won't work - {owner}/{repo} is not a valid variable syntaxFix: Use the gh api "repos/$REPO/pulls/$PR_NUMBER/comments"3. Logic Error: Git Hook Detection (Medium)Location: Checking for directory existence to determine if Husky is used: if [ -d "$MAIN_DIR/.husky" ] || [ -d ".husky" ]; then
echo " Installing Husky hooks..."
npx husky installIssue: In a worktree, is a file, not a directory. Husky's command may fail. Fix: Check for Husky in package.json scripts or handle worktree case: if [ -f "package.json" ] && grep -q '"prepare".*husky' package.json; then
echo " Installing Husky hooks..."
npx husky install 2>/dev/null || echo " Note: Husky install skipped (worktree environment)"
fi4. Clarity: Markdown Code Fence Nesting (Low)Location: Four backticks used to close a code block: // ... code ...
```` // ← Four backticksThis is non-standard. Should use three backticks consistently. 5. Potential Race Condition: Bot Timing (Low)Location: Fixed 3-minute wait may be too short or too long: echo "⏰ Waiting 3 minutes for bots to complete initial analysis..."
sleep 180Suggestion: Poll CI status instead of fixed sleep: echo "⏰ Waiting for CI to complete..."
TIMEOUT=300
ELAPSED=0
while [ $ELAPSED -lt $TIMEOUT ]; do
STATUS=$(gh pr checks $PR_NUMBER --json conclusion -q '.[].conclusion')
if echo "$STATUS" | grep -qv "null\|pending"; then
break
fi
sleep 10
ELAPSED=$((ELAPSED + 10))
done📋 Minor Suggestions
🎯 Testing RecommendationsBefore merging, verify:
📊 Overall AssessmentCode Quality: ⭐⭐⭐⭐ (4/5) Recommendation: Approve with changes - Address the shell injection and hardcoded repo issues before merging. The other issues are minor and can be fixed post-merge. 🚀 What I Love About This PR
This PR demonstrates the workflow it describes, which is excellent meta-validation! Action Items:
Looking forward to seeing this merged! The autonomous workflow concept is going to be incredibly powerful. 🎉 |
Pull Request Review: Adaptive Review Workflow and XML Naming StandardsThank you for this comprehensive PR! I've reviewed the implementation of the adaptive validation & review system, and overall this is excellent work. The autonomous workflow concept is innovative and the documentation is thorough. ✅ StrengthsDocumentation Quality
Code Quality
Architecture
🔍 Issues Found1. Security: Incomplete Shell Injection Protection (Medium)Location: The shell metacharacter validation warns but doesn't actually sanitize - it detects dangerous characters but then uses the unsanitized TASK_NAME variable anyway. Recommendation: Either sanitize the input or reject it entirely before use. Severity: Medium - Could allow command injection if malicious input provided 2. Bug: Hardcoded Repository Placeholder (High)Location: The bot feedback section uses Fix: Update documentation to show the correct 3. Logic Issue: Git Hook Detection (Medium)Location: In a git worktree, Recommendation: Add worktree-specific handling or check for Husky in package.json scripts instead. 4. Clarity: Markdown Code Fence Nesting (Low)Location: Four backticks used to close a code block is non-standard. Should use three backticks consistently. 5. Potential Race Condition: Bot Timing (Low)Location: Fixed 3-minute wait may be too short or too long depending on CI complexity. Suggestion: Consider polling CI status instead of fixed sleep for better responsiveness. 📋 Minor Suggestions
🎯 Testing RecommendationsBefore deploying to production, verify:
📊 Overall AssessmentCode Quality: ⭐⭐⭐⭐ (4/5) Recommendation: Approve with changes - Address the shell injection and hardcoded repo issues before merging. The other issues are minor and can be fixed post-merge. 🚀 What I Love About This PR
Action Items:
Looking forward to seeing this merged! The autonomous workflow concept is going to be incredibly powerful. 🎉 Review Methodology: Followed CLAUDE.md guidelines, checked against prompt-engineering.mdc standards, validated shell scripts for security issues, assessed architectural patterns, and verified consistency with git-interaction.mdc rules. |
Code Review: Adaptive Review Workflow and XML Naming StandardsThank you for this comprehensive PR! This introduces a sophisticated autonomous development workflow with the ✅ Strengths1. Excellent Documentation Quality
2. Security Awareness
3. Smart Adaptive Review Strategy
4. Prompt Engineering Excellence
🔍 Issues & SuggestionsHigh Priority1. Bash Syntax Issues in autotask.mdLine 304 has four backticks instead of three: Impact: Will break markdown rendering and confuse LLMs parsing this file. 2. Git Hook Detection Bug (autotask.md:261)if [ -d ".husky" ]; thenThis checks if the directory exists, but doesn't verify it's properly configured. Husky directories can exist but be misconfigured. Suggestion: if [ -d ".husky" ] && [ -f ".husky/pre-commit" ]; then
npx husky run pre-commit || {
echo "❌ Pre-commit hooks failed, attempting fixes..."
npx eslint --fix . 2>/dev/null || true
npx prettier --write . 2>/dev/null || true
npx husky run pre-commit
}3. Command Injection Risk in Task DescriptionWhile you sanitize with Current (line 56-59): TASK_NAME_RAW="{{TASK_DESCRIPTION}}"
TASK_NAME=$(echo "$TASK_NAME_RAW" | tr -cd '[:alnum:][:space:]-_')Safer approach: # Sanitize immediately, never store raw user input
TASK_NAME=$(echo "{{TASK_DESCRIPTION}}" | tr -cd '[:alnum:][:space:]-_')Even better, add validation: # Validate input first
if echo "{{TASK_DESCRIPTION}}" | grep -q '[;&|<>$`\]'; then
echo "❌ Task description contains invalid characters"
exit 1
fi
TASK_NAME=$(echo "{{TASK_DESCRIPTION}}" | tr -cd '[:alnum:][:space:]-_')Medium Priority4. Hardcoded Repository Referenceautotask.md:399 references a specific API endpoint: REPO=$(gh repo view --json nameWithOwner -q .nameWithOwner)This is good! But earlier in the file, there might be hardcoded references. Let me check... Actually, looking at the diff, this seems fine. Good job dynamically detecting the repo. 5. Missing Error Handling in setup-environment.mdThe new setup-environment.md has comprehensive setup steps but limited error handling. For example: Lines 47-56 (install dependencies): if [ -f "pnpm-lock.yaml" ]; then
pnpm install
fiSuggestion: Add error handling: if [ -f "pnpm-lock.yaml" ]; then
echo "📦 Installing with pnpm..."
pnpm install || {
echo "❌ pnpm install failed. Trying to recover..."
rm -rf node_modules pnpm-lock.yaml
pnpm install
}
fi6. Potential Race Condition in Bot Feedback Loopautotask.md:389-392: echo "⏰ Waiting 3 minutes for bots to complete initial analysis..."
sleep 180Fixed 3-minute wait might be too short for large PRs or too long for small ones. Suggestion: Poll the CI status instead: echo "⏰ Waiting for CI checks to start..."
for i in {1..60}; do
CI_STATUS=$(gh pr checks $PR_NUMBER --json state 2>/dev/null || echo "pending")
if echo "$CI_STATUS" | grep -q '"state":"completed"\|"in_progress"'; then
break
fi
sleep 5
doneLow Priority / Suggestions7. Inconsistent Quoting in Bash ScriptsSome bash variables are quoted, others aren't. For consistency and safety, always quote variables: Good: Scan through autotask.md and ensure all variable references are quoted. 8. TypeScript Code in Markdown is Illustrative OnlyThe TypeScript code blocks (e.g., lines 216-228, 282-303) are examples, not actual implementation. This is clear from context, but could be made more explicit: // Conceptual example - actual implementation will vary
const reviewLevel = analyzeChanges({...});9. README.md Marketing vs Technical BalanceThe new README is engaging and well-written, but leans heavily toward marketing language:
While this is great for attracting users, developers might want quicker access to:
Suggestion: Consider a "Quick Reference" section at the top for experienced users. 🎯 Testing RecommendationsSince this PR introduces complex autonomous workflows, consider:
📊 Impact Assessment
🎨 Philosophical AlignmentThis PR excellently embodies the project's philosophy:
✅ Final RecommendationApprove with minor fixes required. The conceptual design is excellent. The adaptive review strategy is intelligent and practical. The documentation is comprehensive and well-structured. Before merge:
After merge:
📝 Minor Typos/NitpicksNone found - writing quality is excellent throughout. Thank you for this significant contribution to the autonomous development workflow! The adaptive review strategy is particularly innovative. Looking forward to seeing this in action. Questions? Happy to clarify any feedback or discuss implementation approaches. |
Major changes: - Remove prescriptive bash code throughout - State GOALS and requirements, not step-by-step instructions - Add proper frontmatter for slash command - Create symlink in .cursor/commands/ - Follow prompt-engineering.mdc principle: goals over process This aligns with our own documented best practices for LLM prompts. 🤖 Generated with Claude Code Co-Authored-By: Claude <noreply@anthropic.com>
Changed from prescriptive categories (CRITICAL, VALID, etc.) to: - Fix what's valuable - Reject what's not with brief WONTFIX explanation - LLM is the ultimate decider 🤖 Generated with Claude Code Co-Authored-By: Claude <noreply@anthropic.com>
PR Review: Adaptive Review Workflow and XML Naming StandardsThank you for this substantial contribution! This PR introduces the 🎯 Overall AssessmentStrengths:
Areas for improvement:
📋 Detailed Feedback1. Security & Best Practices🔴 Critical: Input Sanitization in Lines 52-62 mention sanitizing task descriptions, but the command file doesn't show the actual sanitization implementation. Since this is a goal-focused prompt (not prescriptive bash), consider adding clearer security requirements: **Requirements**:
- Sanitize task description to prevent shell injection (remove/escape: $, `, \, ;, |, &, <, >, newlines)
- Generate feature branch name (lowercase, alphanumeric plus hyphens, max 60 chars)
- Handle existing worktree conflicts gracefully🟡 Medium: Bash Examples in Lines 47-234 contain extensive bash scripts. While these are helpful examples, they conflict with the "goals over process" principle from
Example refactor: ### 3. Setup Git Hooks
**Goal**: Ensure git hooks work in this worktree just as in main directory
**Requirements**:
- Detect hook system (Husky, pre-commit, or legacy .git/hooks)
- Install/configure hooks for this worktree
- Verify hooks execute correctly
- Handle missing hook systems gracefully
**Success criteria**: Running a commit triggers the same hooks as in main directory2. Code Quality & Consistency✅ Excellent: Semantic XML Tag Naming The change to 🟡 Documentation Consistency In **Input validation requirements**:
- Task description must not contain shell metacharacters: $`\;|&<>
- Branch names: lowercase alphanumeric plus hyphens only
- Maximum length: 60 characters for branch names
- If unsafe characters detected, sanitize or reject with clear error message3. Functional Concerns🟡 Bot Feedback Loop Timing Lines 244-255 in Suggestion: Make this configurable or adaptive **Process**:
1. Wait for bot analysis to complete (default: 3 minutes, configurable via project settings)
2. If using GitHub Actions, check workflow status instead of fixed timer🟡 Error Recovery Strategy Lines 281-313 show error handling, but the decision logic is basic. Consider:
4. Architecture & Design✅ Excellent: Adaptive Review Strategy Lines 176-225 in
This pragmatically balances speed with safety. 🟡 Agent Orchestration Clarity Lines 67-145 describe agent selection patterns, but they're examples, not rules. This is good (LLM should decide), but consider adding: **Agent selection principles**:
- Use Dixon when root cause analysis is needed, not just quick fixes
- Use Ada for implementation work requiring project context
- Use Phil when user-facing text/UX is involved
- Use Rivera for security, architecture, or breaking changes
- Agents can run in parallel when their work is independent
- Don't use agents just to use them - simple changes don't need agent review5. Testing & Validation❓ Missing: Testing Strategy The PR body mentions "Documentation is clear and actionable" but there's no automated validation that the commands actually work. Consider:
Suggestion: Add a 6. Documentation Quality✅ Strong: This file (325 lines) is comprehensive and well-structured:
🟡 Verbosity in README.md The README grew by 138 lines. While comprehensive, consider:
7. Git & Version Control✅ Good: Commit Messages The commit history shows progression:
This demonstrates the workflow dogfooding itself. Well done! 🟡 Commit Granularity 8 commits for what could be 2-3 logical changes. While the iterative bot feedback is valuable to see, consider squashing some of the fix commits in future PRs to keep history cleaner. 🔒 Security Considerations
🎨 Suggestions for Future Enhancements
✅ Checklist ReviewFrom the PR description:
🎯 RecommendationApprove with minor revisions recommended This PR introduces valuable autonomous workflow capabilities. The documentation is comprehensive and the adaptive validation approach is pragmatic. Before merging, consider addressing:
After merging, suggest follow-ups:
💭 Closing ThoughtsThis work represents a significant step toward truly autonomous AI-assisted development. The philosophy of "human control, AI preparation" is well-balanced, and the adaptive validation strategy shows maturity in understanding the trade-offs between speed and safety. The adherence to Great work on this substantial contribution! 🤖 Review conducted following CLAUDE.md standards, particularly |
PR Review: Adaptive Review Workflow and XML Naming StandardsThank you for this comprehensive PR! This adds significant value to the autonomous development workflow. I've reviewed the changes across all 7 files and here's my feedback: Overall AssessmentVerdict: APPROVE with minor suggestions This PR successfully implements a sophisticated autonomous task workflow with intelligent review scaling. The documentation is clear, actionable, and well-structured. The XML naming guidance is a valuable addition to prompt engineering standards. Strengths1. Excellent Documentation Structure
2. Intelligent Design Decisions
3. Strong Prompt Engineering Improvements
4. README Transformation
Issues & SuggestionsCritical IssuesNone found - This is production-ready code. Medium Priority Suggestions1. Security Consideration in Worktree CleanupFile: The worktree setup mentions "sanitize task description to prevent shell injection" which is good, but I don't see explicit sanitization logic in the workflow. Consider adding: # Sanitize branch name - remove shell-unsafe characters
SANITIZED=$(echo "" | tr '[:upper:]' '[:lower:]' | sed 's/[^a-z0-9-]/-/g' | cut -c1-60)
BRANCH_NAME="feature/${SANITIZED}"2. Bot Feedback Loop - Timeout HandlingFile: The bot feedback loop has a MAX_ITERATIONS=5
ITERATION=0
while [ $ITERATION -lt $MAX_ITERATIONS ]; do
# ... existing logic ...
ITERATION=$((ITERATION + 1))
done3. Error Recovery DocumentationFile: The error handling section is good but could benefit from specific recovery strategies:
4. Git Hook Verification EnhancementFile: The git hook setup is thorough, but consider adding verification that hooks actually work: # After hook installation, test them
if [ -d ".husky" ]; then
# Create a temporary file to test pre-commit
touch test-hook-verification.tmp
git add test-hook-verification.tmp
if git commit --dry-run -m "test" 2>&1 | grep -q "husky"; then
echo " ✓ Husky hooks verified"
fi
git reset HEAD test-hook-verification.tmp
rm test-hook-verification.tmp
fiMinor Suggestions5. Consistency in XML Tag ExamplesFile: Excellent addition of semantic naming guidance! One tiny enhancement - the example shows 6. README - Agent Plugin ReferencesFile: The agent descriptions are great, but consider adding a quick reference table: | Agent | Plugin | Use Case |
|-------|--------|----------|
| Dixon | dev-agents:debugger | Root cause analysis |
| Ada | dev-agents:autonomous-developer | Implementation |
| Phil | dev-agents:ux-designer | UX review |
| Rivera | code-review:code-reviewer | Architecture/security |
| Petra | dev-agents:prompt-engineer | Prompt optimization |7. Handoff Context FormattingFile: The line wrapping clarification is good, but the formatting changes might impact parsing. Verify that the heredoc approach mentioned works with the actual Write tool implementation. Performance ConsiderationsPositive
Potential Optimizations
Test CoverageDocumentation Quality: ✅ Excellent
Missing Tests:
Suggestion: Add a
Security AssessmentGood Practices: Recommendations:
Alignment with Project StandardsExcellent adherence to:
The PR practices what it preaches - This was built using the adaptive review workflow it documents. Meta! 🎉 Final RecommendationsMust Address Before Merge
Should Address Soon (Follow-up PRs)
Nice to Have
SummaryThis PR represents a significant leap forward in autonomous development workflows. The adaptive review strategy is pragmatic and intelligent - scaling effort with risk rather than applying heavy process to everything. The XML naming guidance is a valuable addition that will prevent brittle prompt structures. The documentation quality is exceptional - clear, actionable, and comprehensive. The philosophy aligns perfectly with the project's goals of intelligent automation that enhances rather than replaces human judgment. Recommendation: Merge with confidence. The suggested improvements are minor and can be addressed in follow-up PRs without blocking this valuable addition. Great work building a system that's both powerful and pragmatic! 🚀 Review conducted following project standards from CLAUDE.md. Used adaptive review approach: Medium complexity documentation → Targeted content review. |
Remove prescriptive code and nested XML structure per user feedback: - Flatten all XML tags to single layer (no nesting) - Remove pseudo code examples and bash scripts - Remove tool-specific references (Task tool) for Cursor compatibility - Replace specific workflow examples with agent descriptions - Let LLM build execution plan instead of prescribing steps This makes the command work in both Cursor and Claude Code while following the project's prompt-engineering principle of "goals over process." 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
Pull Request Review: Adaptive Review Workflow and XML Naming StandardsThank you for this comprehensive addition to the AI coding configuration system! This PR introduces significant enhancements that align well with the project's philosophy of intelligent, adaptive AI assistance. Here's my detailed review: 🌟 Strengths1. Excellent Goal-Focused DesignThe Example from autotask.md:172 <worktree-setup>
**Goal**: Create an isolated development environment
**Requirements**: [clear list]
**Success criteria**: Clean worktree ready for development work.
</worktree-setup>This approach is more maintainable and adaptable than prescriptive scripts. 2. Adaptive Review PhilosophyThe validation strategy (context/optimal-development-workflow.md:78-98) is particularly clever:
This scales review effort with actual risk rather than applying blanket review to everything. Smart use of resources. 3. Semantic XML Tag NamingThe addition to prompt-engineering.mdc:320-323 about using semantic names ( 4. Comprehensive DocumentationThe README rewrite effectively communicates the value proposition. The shift from feature-list to use-case-driven narrative ("Transform how you work with AI...") is much more compelling. 🔍 Areas for Improvement1. Command Input Sanitization (Security)Location: The command mentions "Sanitize task description to prevent shell injection" but doesn't provide implementation guidance. While the LLM should handle this, explicit examples would be helpful: Suggestion: **Requirements**:
- Sanitize task description to prevent shell injection
Example: `TASK_SAFE=$(echo "$TASK" | tr -cd 'a-zA-Z0-9 _-')`
- Generate feature branch name (lowercase, alphanumeric, max 60 chars)Given the commit history shows this was addressed (commit 4b168e5: "Fix critical shell injection vulnerability"), it would be valuable to document the solution in the command file itself for future reference. 2. Error Recovery Strategy Needs More DetailLocation: The error handling section is somewhat vague: - For other failures: Present options to fix and retry, skip if safe,
abort and clean up, or switch to manual modeSuggestion: Provide concrete decision criteria: <error-handling>
When a phase fails critically:
1. **Validation failures**:
- Auto-fix with appropriate agent if fixable
- Example: Linting errors → auto-apply fixes
2. **Build/Test failures**:
- Capture error output
- Attempt fix with Dixon agent
- If unfixable after 2 attempts → notify user with context
3. **Bot feedback can't be addressed**:
- Continue with PR, document remaining items
- Use WONTFIX label with clear reasoning
4. **Infrastructure failures** (git, gh, npm):
- Present clear error message
- Offer: retry, skip worktree cleanup, or manual intervention
</error-handling>3. Setup Environment Script ComplexityLocation: While the expanded setup instructions are helpful, they include extensive bash code blocks that contradict the "goals over process" principle stated in the PR's own philosophy. The file contains ~130 lines of prescriptive bash when it could be goal-focused: Current approach (prescriptive): ENV_FILES=(.env .env.local .env.development .env.test)
for env_file in "${ENV_FILES[@]}"; do
if [ -f "$MAIN_DIR/$env_file" ]; then
echo " Copying $env_file from main directory..."
cp "$MAIN_DIR/$env_file" "./$env_file"
fi
doneSuggested approach (goal-focused): ## Goal: Setup Development Environment
Ensure this worktree has all dependencies, configuration, and validation tools needed for development.
### Success Criteria
- All dependencies installed for detected package manager (pnpm/yarn/npm/bun)
- Environment files copied from main directory (.env, .env.local, etc.)
- Git hooks installed and functional (husky or pre-commit)
- Build steps completed if needed (Prisma, GraphQL codegen, TypeScript)
- Validation passes (hooks can run successfully)
### Detection Strategy
- Detect project type from lock files and config files
- Identify which git hook system is used
- Find main worktree directory for copying configs
- Determine required build steps
The LLM should intelligently determine the implementation based on the detected project structure.This would be more maintainable and align with the project's stated principles. 4. Bot Feedback Loop TimingLocation: The 3-minute initial wait seems arbitrary. Different bots have different response times:
Suggestion: Make it adaptive: 1. Wait 90 seconds initially
2. Check for bot comments every 30 seconds
3. If no comments after 5 minutes, assume bots not configured
4. Proceed to completion phase5. Missing Cross-Tool Compatibility NotesLocation: The command mentions Claude Code features (Task tool, agents) but has a symlink in Suggestion: Add a compatibility section: ## Tool Compatibility
**Claude Code**: Uses Task tool for agent orchestration
**Cursor**: Uses natural agent invocation and IDE integration
Both tools execute the same goal-focused workflow with their respective capabilities.6. Documentation: Optimal Workflow Document StructureLocation: This is a thorough document, but it mixes:
Suggestion: Consider splitting into:
This would make each document more focused and easier to reference. 📋 Code Quality & Best Practices✅ Well Done
🔧 Minor Issues
🧪 Testing ConsiderationsCurrent State: No automated tests for the commands (this is a documentation/config repo, so that's expected). Recommendations:
🔒 Security Concerns✅ Good Security Practices
|
Complete refactoring to follow "goals over process" principle: - Remove all prescriptive step-by-step instructions - Remove excessive markdown formatting per prompt-engineering rules - Reference project standards (@commands/load-cursor-rules.md, @rules/git-commit-message.mdc) instead of duplicating content - Scale completion summary length with change complexity - Remove unnecessary control reminders Result: 104 lines of clear goals vs 288 lines of prescriptive code. The LLM now decides HOW to achieve outcomes rather than following rigid instructions. 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
Based on prompt engineer review: - Convert numbered list to goal-focused prose - Add explicit file paths for all agent references - Use /load-cursor-rules slash command instead of @ notation - Clarify "straightforward tasks" definition - Improve terminology consistency (execute vs run) These changes reduce ambiguity and ensure the executing LLM can parse all references without inferring context. 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
Context is what makes agents effective. Added guidance for: - Agent launching: Provide task, implementation, project context and specific focus area. Tailor to agent type (debuggers need error details, reviewers need change rationale, implementers need constraints). - Phase continuity: Maintain context throughout workflow. Carry forward user clarifications, implementation decisions, and constraint discoveries. Don't re-decide or re-ask. - Bot feedback evaluation: You have context bots lack (project standards, implementation rationale, trade-offs). Evaluate feedback against this context before accepting. - PR description: Provide reviewers with decision context (why this approach, trade-offs made, how it fits the system). - Error recovery: Capture decision-enabling context (what was attempted, state before failure, root cause indicators). Without context, agents guess. With it, they make informed decisions aligned with project goals. 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
PR Review: Add adaptive review workflow and XML naming standardsThank you for this comprehensive PR implementing the 🎯 Overall AssessmentStrengths:
Rating: Ready to merge with minor considerations noted below 📋 Detailed Feedback1. Documentation Quality ✅
2. Setup Environment Command 🔧Strengths:
Concerns:
Recommended additions: # More robust main directory detection
MAIN_DIR=$(git worktree list --porcelain | awk '/^worktree/ {path=$2} /^branch.*\/(main|master)$/ {print path; exit}')
if [ -z "$MAIN_DIR" ]; then
MAIN_DIR=$(git worktree list --porcelain | grep "^worktree" | head -1 | cut -d' ' -f2)
fi3. Prompt Engineering Updates ✅
4. README Overhaul 📖Strengths:
Minor suggestions:
5. Potential Issues & Edge Cases 🤔Bot Feedback Loop (workflow doc lines 124-169):
Suggested improvements: MAX_ITERATIONS=10
ITERATION=0
WAIT_TIME=120
while [ $ITERATION -lt $MAX_ITERATIONS ]; do
ITERATION=$((ITERATION + 1))
# Get comments with error handling
COMMENTS=$(gh api repos/{owner}/{repo}/pulls/$PR_NUMBER/comments 2>/dev/null || echo "ERROR")
if [ "$COMMENTS" = "ERROR" ]; then
echo "⚠️ Failed to fetch bot comments. Retrying..."
sleep 30
continue
fi
# ... rest of logic
sleep $WAIT_TIME
done
if [ $ITERATION -eq $MAX_ITERATIONS ]; then
echo "⚠️ Max iterations reached. Manual review may be needed."
fiWorktree Management:
6. Testing Coverage ❓Missing test plans for:
Recommendation: Add integration test scenarios or manual test checklist to validate the workflow end-to-end. 7. Security Considerations 🔒Positive:
Concerns:
8. Code Standards Compliance ✅
🎓 Architectural ObservationsWhat I really appreciate:
Potential future enhancements:
✅ Acceptance Criteria Check
🚀 RecommendationAPPROVE with suggestions for follow-up improvements. This PR delivers exactly what it promises - a comprehensive autonomous development workflow with intelligent adaptation. The documentation is excellent, the philosophy is sound, and it demonstrates the workflow by using it to create itself (very meta!). Suggested next steps:
None of these are blockers - they're refinements that can come in future PRs as you gain experience using the workflow in practice. Excited to see this in action! 🎉 Review conducted following |
Code Review: Adaptive Review Workflow and XML Naming StandardsThank you for creating this comprehensive PR that demonstrates the StrengthsArchitecture & Design
Documentation Quality
Standards Improvements
Issues & SuggestionsCritical: Prescriptive Code in setup-environment.mdIssue: .claude/commands/setup-environment.md:46-213 contains extensive bash code examples that violate the "goals over process" principle from prompt-engineering.mdc. Problem: These bash scripts are pseudo-code examples meant to teach, but LLMs will try to execute them literally. This creates several issues:
Recommendation: Refactor to goals + constraints: ## Setup Steps
<dependency-installation>
Detect project type and install all dependencies using the appropriate package manager. For Node.js, check for pnpm-lock.yaml, yarn.lock, bun.lockb, or package-lock.json to determine which manager to use. For Python, check for requirements.txt or Pipfile. Handle missing package managers gracefully.
</dependency-installation>
<environment-configuration>
Copy environment files from the main worktree to this new worktree. Locate the main worktree using git worktree list. Common environment files include .env, .env.local, .env.development, .env.test, .secrets.json, and local.config.js. Only copy files that exist in the main worktree.
</environment-configuration>
<git-hooks-setup>
Install git hooks appropriate for this project (Husky, pre-commit, or legacy .git/hooks). Detect which system is used and configure it for this worktree. For Husky: run npx husky install. For pre-commit: run pre-commit install if available. For legacy hooks: copy from main worktree's .git/hooks directory.
</git-hooks-setup>
<constraints>
- Fail gracefully if package managers aren't installed
- Don't break if environment files are missing
- Verify hooks work after installation
- Report progress clearly to the user
</constraints>This lets the LLM adapt to different project structures intelligently rather than following rigid scripts. Medium: Agent Path InconsistencyIssue: autotask.md:38 references Petra as "architecture-auditor.md" but should be "prompt-engineer.md" based on the description. Location: - Petra (.claude/agents/code-review/architecture-auditor.md): System-level architecture analysisShould probably be: - Petra (.claude/agents/dev-agents/prompt-engineer.md): Prompt optimizationOr if Petra is indeed the architecture auditor, update the description to match. Medium: Bot Feedback Pseudo-codeIssue: optimal-development-workflow.md:127-168 contains pseudo-bash code for bot feedback handling, which is documentation (good) but positioned as executable workflow (potentially confusing). Suggestion: Either:
The autotask.md:56-58 version is better - describes the goal without prescribing implementation. Low: Missing Error Context ExamplesIssue: autotask.md:64-66 describes error handling context capture but could benefit from concrete examples. Suggestion: Add 1-2 examples: Example: "Attempted to run npm install but found no package.json. Root cause: wrong directory. Fix: cd to project root first."
Example: "Test suite failing with database connection error. Requires manual intervention: no .env file to copy from main worktree."Low: Terminology ConsistencyIssue: Minor inconsistency in referring to the main working directory:
Suggestion: Pick one term and use consistently. I recommend "main worktree" as it's most precise. Security Considerations✅ Good: autotask.md:28 mentions shell injection prevention Recommendation: Consider adding explicit input sanitization requirements to autotask.md: <security-constraints>
- Sanitize task descriptions before using in shell commands
- Validate branch names match pattern [a-zA-Z0-9/_-]+
- Don't execute user-provided code without review
</security-constraints>Performance Considerations✅ Excellent: autotask.md:41 explicitly mentions parallel vs sequential agent execution Minor optimization: Consider adding guidance on cleanup to prevent Test CoverageMissing: No tests for the slash commands themselves (understandably, as they're markdown prompt files) Suggestion: Consider adding:
Best Practices Alignment✅ Follows project standards:
✅ Commit messages: Follow git-commit-message.mdc with emoji prefixes and Co-Authored-By ✅ Documentation: README.md updates are clear and well-structured Recommendations Priority
SummaryThis is strong work that demonstrates sophisticated understanding of LLM prompt engineering. The adaptive review philosophy is particularly valuable - matching validation intensity to risk is exactly right. The main issue is setup-environment.md contradicting the "goals over process" principle established in prompt-engineering.mdc. The PR successfully demonstrates the workflow it documents, which is excellent validation. The iterative refinement through bot feedback (visible in commit history) shows the system working as designed. Recommendation: Request changes for setup-environment.md refactoring, then merge. This is valuable work that will significantly improve autonomous task execution. Review conducted following .cursor/rules/git-interaction.mdc and prompt-engineering.mdc standards |
- Add back @commands/create-prompt.md reference in task-preparation - Add back @rules/git-worktree-task.mdc reference at start of workflow - Restore bot feedback loop specifics: 3min initial wait, GitHub API checking, 90s re-review wait, 5 iteration max - Simplify requirements: remove git worktrees (obvious), remove main/master branch (obvious), change to just npm (not yarn) - Reference /load-cursor-rules instead of .cursor/rules/*.mdc - Add git hooks (husky, pre-commit) to Configuration section These foundational files and operational details are essential for the autonomous workflow to function properly. 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
Petra is the prompt-engineer, not the architecture-auditor. Corrected path and description to match actual agent role. Addresses bot feedback from PR review. 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
PR Review: Add adaptive review workflow and XML naming standardsThank you for this comprehensive PR introducing the autonomous workflow! This represents a significant evolution in the project's capabilities. I've reviewed the changes from multiple angles: 🎯 Overall AssessmentVerdict: Excellent work with minor suggestions This PR successfully delivers:
The implementation demonstrates the exact workflow it documents, which is great validation of the approach. ✅ Strengths1. Goal-Focused Design (.claude/commands/autotask.md)The command structure follows the project's own "goals over process" principle beautifully. Instead of prescriptive bash scripts, it describes clear objectives within semantic XML tags. This is exactly what prompt-engineering.mdc advocates for. Example of excellence: <autonomous-execution>
Implement the solution following project patterns and standards. Build a plan for which agents or approaches to use based on the task type.
</autonomous-execution>2. XML Naming Standards (.cursor/rules/prompt-engineering.mdc:320-323)The addition of semantic tag naming guidance is spot-on:
This will prevent future maintainability issues. 3. Context-Aware Documentation (context/optimal-development-workflow.md)The workflow guide provides excellent context on:
The bot feedback loop section (lines 124-169) is particularly well thought out. 4. Comprehensive README UpdatesThe README transformation is excellent:
🔍 Code Quality ObservationsAgent References (autotask.md:36-41)Good: All agent paths are explicit and correct
Setup Environment Command (.claude/commands/setup-environment.md)Excellent improvements:
Minor observation (not blocking): 🎨 Best Practices AlignmentFollows Project Standards ✓
Follows Documented WorkflowPer the PR description, this PR itself was created using the adaptive review workflow:
This self-validation is powerful evidence the approach works. 🔐 Security ConsiderationsCommand Injection ProtectionConcern noted and addressed: The PR history shows evolution of shell injection protection in autotask command. By moving to goal-focused instructions rather than prescriptive bash code, the attack surface is significantly reduced. Current state: The command now delegates security decisions to the executing LLM rather than providing potentially vulnerable code snippets. This is the right approach. Git Hooks ValidationGood: The workflow explicitly relies on existing git hooks (husky/pre-commit) rather than implementing custom validation that might miss security checks. 📊 Performance ConsiderationsAdaptive Review StrategyThe three-tier review approach (Minimal/Targeted/Comprehensive) is excellent for performance:
This scales validation cost with actual risk, which is smart resource management. Bot Feedback Loop TimingFrom optimal-development-workflow.md:132-167:
Analysis: These are reasonable defaults. The 3-minute initial wait accounts for typical bot analysis time on GitHub. 🧪 Test CoverageDocumentation QualityTested by:
Coverage assessment: Excellent. The documentation has been battle-tested through its own workflow. Missing Test Cases (Suggestions, not requirements)
Note: The 🎯 Suggestions for Enhancement1. Prerequisites Validation (Minor)Location: .claude/commands/autotask.md:85-89 Current: ## Requirements
- GitHub CLI (`gh`) installed and authenticated
- Node.js/npm
- Project standards accessible via /load-cursor-rulesSuggestion: Consider adding example validation checks the executing LLM could run: ## Requirements
Verify before execution:
- GitHub CLI: `gh auth status`
- Node.js: `node --version`
- Git worktrees support: `git worktree list`This helps the LLM fail fast with clear errors rather than mid-execution. 2. Context Preservation Details (Minor)Location: .claude/commands/autotask.md:47 Current: Suggestion: This is excellent guidance. Consider adding a brief note about how to maintain context (e.g., "Carry forward user clarifications in agent prompts" or "Reference earlier decisions in PR description"). 3. Bot Feedback Categories (Clarification)Location: optimal-development-workflow.md:149-155 The bot feedback categorization (CRITICAL, VALID, CONTEXT-MISSING, FALSE-POSITIVE) is helpful conceptually. However, autotask.md:63 correctly simplifies this to "Fix what's valuable, reject what's not." Observation: The two documents are aligned in philosophy but differ in specificity. This is fine - workflow.md is educational, autotask.md is executable. Just noting for awareness. 📝 Documentation ClarityExcellent Examples
Minor Formatting ObservationLocation: .claude/commands/setup-environment.md The bash code blocks (lines 45-100+) are quite long. This is actually appropriate since they're showing comprehensive detection logic, not prescribing exact implementation. Well done following the "goals over process" principle while still providing helpful examples. 🚀 Innovation Highlights1. Self-Referential ValidationUsing the workflow to create a PR about is brilliant validation. The PR description documents:
This is powerful evidence the workflow works as designed. 2. Adaptive Review PhilosophyMoving from "review everything" to "review based on risk" is a significant philosophical shift. The three-tier approach (Minimal/Targeted/Comprehensive) respects both speed and quality. 3. Bot Feedback AutonomyFrom autotask.md:61:
This guidance empowers the LLM to make intelligent decisions rather than blindly accepting all bot suggestions. Excellent. 🎭 Philosophy AlignmentHeart-Centered AI (common-personality.mdc)The documentation maintains the project's voice:
Git Interaction (git-interaction.mdc)Perfectly aligned:
🐛 Potential IssuesNone Critical FoundI reviewed for:
📊 Metrics & MeasurementFrom optimal-development-workflow.md:290-306: The metrics section is excellent:
Suggestion: Consider tracking these metrics once is in production use. This data would inform future iterations. ✨ Final RecommendationsReady to Merge: YES ✓Strengths:
Suggestions (non-blocking):
🙏 AcknowledgmentsThank you for:
This PR represents thoughtful evolution of the project's capabilities. The autonomous workflow will significantly improve developer productivity while maintaining quality and control. Recommendation: Approve and merge ✅ Review conducted by Claude (Sonnet 4.5) following Rivera's code review principles and project standards from CLAUDE.md |
| echo "Testing git hooks..." | ||
| if [ -d ".husky" ]; then | ||
| echo " Running Husky pre-commit hooks..." | ||
| npx husky run pre-commit && echo " ✓ Husky hooks working" || echo " ⚠️ Some checks failed (fixing...)" |
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Bug: Invalid Husky Command Causes False Failures
Invalid husky command npx husky run pre-commit will always fail. Husky has no run subcommand, causing this verification to always incorrectly report "Some checks failed" even when husky is properly installed. Instead, manually invoke the hook scripts or the commands they contain (e.g., npm run lint, npm run test).
PR Review: Adaptive Review Workflow and XML Naming StandardsThank you for this comprehensive PR! This is a significant addition to the autonomous development workflow. I've reviewed the changes with attention to code quality, documentation clarity, and alignment with project standards. Overall AssessmentStrengths:
Verdict: Ready to merge with minor suggestions for future consideration. Detailed Feedback1. Documentation Qualityautotask.md (.claude/commands/autotask.md:1-106)
Suggestions:
optimal-development-workflow.md (context/optimal-development-workflow.md:1-262)
Minor issue:
2. Code Standards & Conventionsprompt-engineering.mdc (.cursor/rules/prompt-engineering.mdc:320-323)
Follows project standards:
3. Setup Environment Expansionsetup-environment.md (.claude/commands/setup-environment.md:1-234)
Potential issues:
Security consideration:
4. Architecture & DesignAdaptive validation strategy (optimal-development-workflow.md:62-92)
Agent orchestration (autotask.md:34-47)
Concern:
5. Testing & ValidationWhat's missing:
Suggestions:
6. Consistency & IntegrationGood:
Minor inconsistency:
7. Performance ConsiderationsTiming concerns:
Suggestions:
8. Security ReviewPotential issues:
Strengths:
9. User ExperienceExcellent:
Could improve:
Specific Line-by-Line Notesautotask.md
setup-environment.md
prompt-engineering.mdc
README.md
RecommendationsBefore merge:
Future improvements:
Consider documenting:
Alignment with Project PhilosophyThis PR exemplifies the project's values: ✅ Heart-centered AI philosophy - "You are the ultimate decider" shows respect for human agency The meta aspect is beautiful: this PR uses the adaptive review workflow it documents. That's excellent dogfooding! Final ThoughtsThis is high-quality work that significantly advances the autonomous development vision. The documentation is clear, the architecture is sound, and it follows the project's own standards. The adaptive review strategy is particularly clever - it avoids both under-validation and over-validation. My suggestions are minor refinements, not blockers. This PR demonstrates mature thinking about AI-human collaboration in software development. Recommendation: Approve and merge. 🚀 Review conducted following |
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PR Review: Adaptive Review Workflow and XML Naming StandardsThank you for this comprehensive PR! The autonomous workflow is an impressive addition to the project. I've reviewed the changes with a focus on code quality, alignment with project standards, and practical implementation. Here's my feedback: ✅ Strengths1. Excellent Goal-Focused DesignThe command follows the project's own "goals over process" principle beautifully. Rather than prescriptive step-by-step bash code, it describes clear outcomes and lets the executing LLM determine implementation. This is exactly what 2. Strong Documentation
3. Semantic XML TagsThe new guidance in 4. Multi-Language SupportGreat addition showing both TypeScript/JavaScript and Python tooling examples. Makes the workflow truly language-agnostic rather than Node.js-centric. 5. Adaptive Review StrategyThe validation approach that scales with complexity (minimal → targeted → comprehensive) is smart and pragmatic. Avoids over-engineering simple changes while ensuring high-risk work gets proper scrutiny. 🔍 Areas for Improvement1. File Path References Need Verification (Medium Priority)In - Dixon (.claude/agents/dev-agents/debugger.md)
- Ada (.claude/agents/dev-agents/autonomous-developer.md)
- Phil (.claude/agents/dev-agents/ux-designer.md)
- Rivera (.claude/agents/code-review/code-reviewer.md)
- Petra (.claude/agents/dev-agents/prompt-engineer.md)Issue: These paths should be verified to ensure they exist in the repository. If they're provided by plugins, this should be clarified (e.g., "installed via Recommendation: Either verify the paths exist or add a note like: Available specialized agents (installed via plugins):
- Dixon (dev-agents:debugger) - Root cause analysis...2. Symlink Creation Not Shown (Low Priority)The PR description mentions creating a symlink in Observation: The symlink appears to be created correctly, but the Recommendation: If this is a manual step during plugin creation, consider documenting it or ensuring the bootstrap/plugin installation handles it automatically. 3. Bot Feedback Loop Specifics Could Be Clearer (Low Priority)In
Issue: These are specific operational details that might need adjustment based on different CI/CD setups or bot response times. Recommendation: Consider making these configurable or at least documenting them as "recommended defaults" that can be adjusted: After creating the PR, wait for AI code review bots (default: 3 minutes)...
After pushing fixes, wait for re-review (default: 90 seconds)...
Iterate as needed (recommended max: 5 iterations)...4. Error Handling Section Could Be More Specific (Low Priority)The Recommendation: Add 1-2 concrete examples of recoverable vs. non-recoverable errors: Examples:
- Recoverable: Linting errors, test failures, missing dependencies
- Requires intervention: Authentication failures, missing environment variables, merge conflicts5. README Could Benefit from Quick Win Example (Low Priority)The README's "Autonomous Development Workflow" section (lines 62-83) explains the concept well but jumps to a complex OAuth example. Recommendation: Start with a simpler example to build confidence: # Simple bug fix
/autotask "fix null pointer exception in user profile page"
# Medium feature
/autotask "add export to CSV button on dashboard"
# Complex feature
/autotask "add OAuth2 authentication with email fallback"🎯 Code Quality & Best PracticesAlignment with Project Standards
LLM-to-LLM Communication
🔒 Security ConsiderationsThe worktree setup mentions "Ensure the environment is secure (prevent shell injection)" which is good awareness. The setup-environment.md script handles this reasonably well with proper quoting. Minor suggestion: The bash scripts in setup-environment.md use arrays and proper quoting, which is good. Consider adding a note about sanitizing user-provided task descriptions before using them in branch names or commit messages. 🧪 Testing & ValidationQuestion: Has the Recommendation: Consider adding a testing checklist to the plugin:
📊 Performance ConsiderationsThe workflow seems well-optimized:
No performance concerns identified. 🎨 Final ThoughtsThis PR represents a significant evolution in the project - from manual configuration to intelligent autonomous workflows. The design is thoughtful, the documentation is comprehensive, and the implementation follows the project's own best practices. The meta aspect is particularly impressive: the PR uses the workflow it introduces, demonstrating that the system works in practice, not just in theory. Recommendation: Merge after addressing the file path verification issue (item #1 above). The other suggestions are minor enhancements that could be addressed in follow-up PRs if desired. Overall Assessment: ⭐⭐⭐⭐½ (4.5/5) Strong work! The autonomous workflow is a game-changer for AI-assisted development. Looking forward to seeing this in action. |
Code Review - PR #3Thank you for this comprehensive PR implementing the autonomous workflow! This is an impressive piece of work that demonstrates the adaptive review system in action. I've conducted a thorough review following the project's standards. 🎉 What's Excellent1. Meta-demonstration of the workflow
2. Documentation quality
3. Adherence to project standards
4. Intelligent design decisions
🔍 Security & Quality ObservationsShell injection prevention (autotask.md:30)
Git hooks as validation (optimal-development-workflow.md:72-75)
Bot feedback evaluation (autotask.md:61-63)
🤔 Design & Architecture Questions1. Error recovery context (autotask.md:72-74)
2. Parallel agent execution (autotask.md:43)
3. Bot feedback iteration limit (autotask.md:65, optimal-development-workflow.md:167)
4. Setup-environment bash scripts (.claude/commands/setup-environment.md:47-72)
📚 Prompt Engineering AlignmentExcellent application of prompt-engineering.mdc principles: ✅ Semantic XML tags (line 320-323 of prompt-engineering.mdc) One area for consideration: The
The bash scripts feel prescriptive. Consider whether these are:
🎯 Test Coverage ConsiderationsThe PR mentions "Test coverage: 97%" in the example (optimal-development-workflow.md:216), but:
🚀 Performance ConsiderationsTiming expectations (optimal-development-workflow.md:241):
Worktree cleanup (autotask.md:106):
✨ Excellent Touches1. Agent descriptions with file paths (autotask.md:36-41)
2. Context-handling guidance (autotask.md:45-47)
3. Requirements section (autotask.md:85-89)
📋 Minor Polish Items1. Consistent terminology
2. Cross-references
3. Symlink structure (.cursor/commands/autotask.md)
🎓 Learning & DocumentationREADME.md transformation is significant:
One suggestion for README:
🏆 Overall AssessmentCode Quality: ⭐⭐⭐⭐⭐ (5/5)
Architecture: ⭐⭐⭐⭐½ (4.5/5)
Security: ⭐⭐⭐⭐ (4/5)
Documentation: ⭐⭐⭐⭐⭐ (5/5)
Innovation: ⭐⭐⭐⭐⭐ (5/5)
✅ RecommendationAPPROVE with minor suggestions for follow-up This PR represents a significant evolution in autonomous AI development workflows. The adaptive review system is well-designed, the documentation is excellent, and the implementation follows project standards. The suggestions above are refinements, not blockers:
None of these prevent merging - they're enhancements that could come in follow-up PRs if desired. Congratulations on building a workflow that makes autonomous AI development genuinely practical! This is the kind of innovation that moves the whole ecosystem forward. Review conducted following @.cursor/rules/personalities/common-personality.mdc, @.cursor/rules/git-interaction.mdc, and @.cursor/rules/prompt-engineering.mdc standards. |
| COMMENTS=$(gh api \ | ||
| repos/{owner}/{repo}/pulls/$PR_NUMBER/comments \ | ||
| --jq '.[] | select(.user.type == "Bot") | select(.resolved != true)') | ||
|
|
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Bug: GitHub CLI API calls missing context
The gh api call uses unfilled template placeholders {owner} and {repo} instead of actual values. GitHub CLI will interpret these literally and fail to find the endpoint. The code needs to either dynamically determine the owner/repo or use gh shorthand syntax that doesn't require explicit path construction.
Summary
Implements the adaptive validation & review system for
/autotaskwith comprehensive documentation. This PR demonstrates the workflow we just built!Changes
Documentation Added
context/optimal-development-workflow.md- Complete/autotaskworkflow guideStandards Enhanced
.cursor/rules/prompt-engineering.mdc- XML tag naming guidance<task-preparation>not<phase-1>)Review Process Used
This PR itself was created using the adaptive review workflow:
✅ Phase 1-3: Implementation complete (documents created)
✅ Phase 4: Adaptive validation & review
✅ Phase 5: Creating this PR
Testing
Philosophy
Review intensity matched task complexity:
Simple, adaptive, exactly what's needed - no more, no less.
🤖 Generated with Claude Code
Note
Introduces the autonomous
/autotaskworkflow with adaptive review, significantly expands environment setup, and updates XML tag naming standards and documentation (README, optimal workflow)./autotask: Add autonomous task execution command (.claude/commands/autotask.md) with phases for preparation, worktree setup, execution, adaptive validation, PR creation, bot feedback loop, and completion./setup-environment(.claude/commands/setup-environment.md) with detection, install, config copy, hooks setup, build/gen, and verification scripts..cursor/commands/autotask.md./.cursor/rules/prompt-engineering.mdcto prefer semantic XML tag names (e.g.,<task-preparation>,<create-pr>).context/optimal-development-workflow.mddetailing the 7-phase/autotaskprocess and adaptive review.README.mdto highlight autonomous workflows, specialist agents, commands, and repo structure..claude/commands/handoff-context.mdfor clearer save/copy steps and formatting.Written by Cursor Bugbot for commit a0d4733. This will update automatically on new commits. Configure here.