TL;DR

Built an autonomous system that reviews progress and recommends priorities, plus a unified pip CLI that makes the framework simple to use. This demonstrates all 5 agentic design patterns working together in production code.

The Journey: Pattern Testing Turned Real Feature

After extracting the 5 agentic design patterns, we needed to test them. The user asked: “Propose a feature which automatically uses agents to review progress and decide what to focus on next, then deliver it after manual approval.”

Perfect test case! This would demonstrate:

We followed the patterns exactly as documented and delivered a working system in one session.

What We Built

1. Autonomous Progress Review System

The Problem: Teams need to continuously decide what to work on next, but manual review is time-consuming and subjective.

The Solution: bin/review-and-prioritize.sh - An autonomous system that:

📊 Collects Progress Data:

🔍 Analyzes Patterns:

🎯 Recommends Priorities: Using weighted scoring:

Priority Score = (Roadmap × 0.4) + (Unblocking × 0.3) + 
                 (Value × 0.2) + (Effort × 0.1)

Where each component is 0-10:

⏸️ Requires Approval: Present recommendations → Wait for decision → Execute if approved

🚀 Takes Action:

Example Output:

=== PRIORITY RECOMMENDATIONS ===

1. 🏆 PRIORITY SCORE: 8.5/10
   Task: Complete Phase 1 - Agent workflow documents
   Rationale:
     - Roadmap: 10/10 (critical path for Phase 1)
     - Unblocking: 8/10 (enables Phase 2 vector memory)
     - Value: 7/10 (improves agent effectiveness)
     - Effort: 8/10 (2-3 days, good ROI)
   
=== APPROVAL REQUIRED ===

Your decision: approve

✓ Approved - creating branch...
✓ Feature branch ready: feat/agent-workflow-documents

2. Unified pip CLI

The Problem: Framework had many scripts (./bin/review-and-prioritize.sh, ./bin/validate-patterns.sh, etc.) - hard to discover and remember.

The Solution: Single pip command with subcommands.

Before:

./bin/review-and-prioritize.sh --days 14
./bin/validate-patterns.sh
./bin/bootstrap-project.sh my-project

After:

pip review --days 14
pip validate
pip bootstrap my-project

Commands Available:

Project Management:

Development:

Patterns:

Information:

Features:

Patterns in Action: How We Built It

This wasn’t just a demo - we actually followed the patterns as documented.

Planning Pattern Applied

1. Understand Goal:

2. Decompose:

3. Sequence:

Phase 1: CPO Requirements (0.5 days) ✓
    ↓
Phase 2: CTO Implementation (1.5 days) ✓
    ↓
Phase 3: User Approval → Merge

4. Execute: Built exactly as planned

5. Validate: All acceptance criteria met ✓

ReAct Pattern Applied

Every implementation step followed Reason→Act→Observe→Reflect:

Example - Creating the CLI:

1. REASON: Need unified interface for discoverability
2. ACT: Create bin/pip with command routing
3. OBSERVE: Commands work but colors show as escape codes
4. REFLECT: Need echo -e instead of cat heredoc. ITERATE.

5. REASON: Fix color rendering
6. ACT: Replace cat << EOF with echo -e
7. OBSERVE: Colors now render properly
8. REFLECT: Goal achieved! CONTINUE.

Reflection Pattern Applied

The review system itself IS the Reflection pattern:

Tool Use Pattern Applied

Systematically selected and used tools:

Multi-Agent Collaboration Pattern Applied

Clear handoffs throughout:

Each agent stayed in their lane, clear deliverables at each handoff.

The Numbers

Lines of Code:

Total: 1,095 lines of production code + comprehensive docs

PRs Merged:

Time: One collaborative session

What This Means

For Users

Before:

After:

pip review          # Get data-driven recommendations
# Review, approve
# Branch created automatically
pip wrap            # Complete and merge

Impact:

For the Framework

This proves the patterns work:

  1. We documented the patterns
  2. We followed them exactly
  3. We delivered working features
  4. They’re now in production

The patterns aren’t theoretical - they’re validated by actual usage.

Try It Now

Review Progress:

cd /path/to/pip
./bin/pip review

This will:

  1. Analyze your last 7 days of work
  2. Show velocity and patterns
  3. Recommend top priorities
  4. Wait for your approval
  5. Create branch if you approve

Explore Patterns:

./bin/pip patterns              # List all patterns
./bin/pip pattern react         # Deep dive on ReAct
./bin/pip pattern planning      # Study Planning pattern

Validate Everything:

./bin/pip validate              # Verify all patterns structured correctly

What’s Next

Short Term

Phase 1 Remaining Work

Per ROADMAP.md Phase 1 (v1.1.0):

Phase 2 Preview

Phase 2 (v1.2.0) - Vector Memory System:

The autonomous review system will integrate with vector memory to improve recommendations over time based on past decisions.

Lessons Learned

What Worked

  1. Following the patterns actually works - Not just theory
  2. Approval gates respect user agency - Automation with control
  3. Unified CLI improves discoverability - Simple is better
  4. Real-time iteration with user - ReAct pattern in practice

What We’d Do Differently

Validation of Approach

The fact that we:

…validates that the documented patterns are practical and effective.

Resources

New Commands:

Documentation:

PRs:

Pattern Library Status: 5 patterns documented and validated ✓
Phase 1 Progress: Core tooling in place, workflows next
Next Session: Agent workflow documents and decision frameworks

The journey from documentation framework to autonomous agentic system continues! 🚀