Add Aider tools for AI-powered code regeneration #28
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🌍 Enable Amplifier's powerful AI agents and tools on any codebase, anywhere This major enhancement allows developers to harness Amplifier's 20+ specialized agents (zen-architect, bug-hunter, security-guardian, etc.) on any project without copying files or modifying existing repositories. ✨ New Features: - Global 'amplifier' command for system-wide access - Smart auto-detection of Amplifier installation location - Enhanced startup scripts with comprehensive error handling - Seamless integration with existing Claude workflows - Cross-platform compatibility (macOS, Linux, WSL) 🚀 Usage: make install-global # Install global command amplifier ~/my-project # Use Amplifier on any project amplifier --help # Show usage examples 📈 Benefits: - All 20+ specialized agents available on any codebase - Shared knowledge base across all projects - Same powerful automation and quality tools - Project isolation - changes only affect target project - No need to modify or copy files to existing projects 🔧 Implementation: - Enhanced amplifier-anywhere.sh with robust error handling - New bin/amplifier wrapper for global installation - Updated Makefile with install-global targets - Comprehensive documentation in README - Fixed Claude settings path resolution This democratizes access to Amplifier's AI development superpowers, making every codebase instantly compatible with the full Amplifier toolkit.
- Fix handling of Claude flags when no directory specified - Ensure --version flag works correctly without triggering full startup - Improve argument parsing logic to handle edge cases - Maintain backward compatibility with all usage patterns Tested scenarios: ✅ amplifier --version (shows version only) ✅ amplifier --print 'command' (uses current dir + Claude args) ✅ amplifier /path/to/project --model sonnet (explicit dir + args) ✅ amplifier /nonexistent/path (proper error handling) ✅ amplifier --help (shows help text)
- Modify .gitignore to permit bin/amplifier global command - Maintain exclusion of other build artifacts - Enable proper version control of global installation script
- Modified bin/amplifier to capture and pass the original PWD - Updated amplifier-anywhere.sh to use ORIGINAL_PWD when available - Fixes issue where 'amplifier' from any directory would default to amplifier repo instead of current dir
- Add standalone aider_regenerator.py tool with three philosophies - Create setup script for isolated Aider installation - Include comprehensive documentation - Enable philosophy-based module regeneration (fractalized, modular, zen)
michaeljabbour
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Complete comprehensive technical specification library with all 44 principles: **People (6 specs)** - #1 Small AI-first working groups - #2 Strategic human touchpoints only - #3 Prompt engineering as core skill - microsoft#4 Test-based verification over code review - microsoft#5 Conversation-driven development - microsoft#6 Human escape hatches always available **Process (13 specs)** - microsoft#7 Regenerate, don't edit - microsoft#8 Contract-first everything - microsoft#9 Tests as the quality gate - microsoft#10 Git as safety net - microsoft#11 Continuous validation with fast feedback - microsoft#12 Incremental processing as default - microsoft#13 Parallel exploration by default - microsoft#14 Context management as discipline - microsoft#15 Git-based everything - microsoft#16 Docs define, not describe - microsoft#17 Prompt versioning and testing - microsoft#18 Contract evolution with migration paths - microsoft#19 Cost and token budgeting **Technology (18 specs)** - microsoft#20 Self-modifying AI-first codebase - microsoft#21 Limited and domain-specific by design - microsoft#22 Layered virtualization - microsoft#23 Protected self-healing kernel - microsoft#24 Long-running agent processes - microsoft#25 Simple interfaces by design - microsoft#26 Stateless by default - microsoft#27 Disposable components everywhere - microsoft#28 CLI-first design - microsoft#29 Tool ecosystems as extensions - microsoft#30 Observability baked in - microsoft#31 Idempotency by design (reference) - microsoft#32 Error recovery patterns built in - microsoft#33 Graceful degradation by design - microsoft#34 Feature flags as deployment strategy - microsoft#35 Least-privilege automation - microsoft#36 Dependency pinning and security scanning - microsoft#37 Declarative over imperative **Governance (7 specs)** - microsoft#38 Access control and compliance - microsoft#39 Metrics and evaluation everywhere - microsoft#40 Knowledge stewardship and institutional memory - microsoft#41 Adaptive sandboxing with explicit approvals - microsoft#42 Data governance and privacy controls - microsoft#43 Model lifecycle management - microsoft#44 Self-serve recovery with known-good snapshots Each specification includes: - Plain-language definition - AI-first development rationale - 4-6 implementation approaches - 5 good/bad example pairs with working code - 6 related principles with relationships - 7 common pitfalls with examples - Tools organized by category - 12 actionable checklist items Statistics: - 44 specifications totaling ~10,000+ lines - 220+ good/bad code example pairs - 240+ implementation approaches - 300+ documented anti-patterns - 500+ tools and frameworks - 250+ cross-principle relationships Created through parallel AI agent execution demonstrating Principle microsoft#13 (Parallel Exploration by Default). 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
michaeljabbour
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Sep 30, 2025
Add comprehensive CLI tool for managing AI-first principle specifications. **Features:** - List principles (with filtering by category/status) - Validate specifications against quality standards - Quality scoring with comprehensive checks - Progress tracking across all specifications - Stub generation for new principles **Tool Commands:** - list: View all principles with filtering - validate: Check specification structure - check-quality: Comprehensive quality scoring - update-progress: Statistics by category - create: Generate new principle stubs **Quality Checks:** - Required sections present - Minimum 5 example pairs - 6+ related principles - 8-12 checklist items - 5-7 common pitfalls - Complete metadata **Documentation:** - tools/README.md: Complete tool guide - Main README updated with Quick Start and usage **Demonstrates Principles:** - microsoft#28 CLI-First Design - microsoft#29 Tool Ecosystems as Extensions - microsoft#25 Simple Interfaces by Design - microsoft#31 Idempotency by Design - microsoft#9 Tests as Quality Gate Provides path for maintaining and expanding the specification library as Amplifier grows. 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
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Summary
This PR adds standalone Aider tools to Amplifier, enabling AI-powered module regeneration using different development philosophies.
What's Included
amplifier/tools/aider_regenerator.py: Core regeneration tool with support for three philosophies (fractalized, modular, zen)scripts/setup-aider.sh: Installation script for setting up Aider in an isolated environmentdocs/aider-tools.md: Comprehensive documentationKey Features
Usage Example
Why This Matters
AI-powered code regeneration allows for:
Testing
The tool has been tested with:
Dependencies
The tool is installed in an isolated
.aider-venvenvironment to avoid conflicts with the main project dependencies.