Major automation enhancements for flexible AI provider configuration:
1. Add config/ai.yml - Centralized AI configuration
- Three command chains: default, fast, quality
- Multi-provider fallback (Claude → Codex → Gemini)
- Configurable per optimization level
- Sentinel token configuration
2. Extend automation/ai_config.py
- Add RunnerSettings with three chain support
- Add get_chain_for_hint() method
- Load and validate all three command chains
- Proper fallback to defaults
3. Update automation/runner.py
- Read model_hint from .ai-rules.yml
- Pass model_hint to generate_output()
- Support output_type hint overrides
4. Update automation/patcher.py
- Add model_hint parameter throughout pipeline
- Inject TASK COMPLEXITY hint into prompts
- ModelConfig.get_commands_for_hint() selects chain
- Fallback mechanism tries all commands in chain
5. Add design discussion stage to features.ai-rules.yml
- New design_gate_writer rule (model_hint: fast)
- New design_discussion_writer rule (model_hint: quality)
- Update feature_request to create design gate
- Update feature_discussion to create design gate
- Add design.discussion.md file associations
- Proper status transitions: READY_FOR_DESIGN → READY_FOR_IMPLEMENTATION
6. Add assets/templates/design.discussion.md
- Template for Stage 3 design discussions
- META header with tokens support
- Design goals and participation instructions
7. Update tools/setup_claude_agents.sh
- Agent descriptions reference TASK COMPLEXITY hint
- cdev-patch: "MUST BE USED when TASK COMPLEXITY is FAST"
- cdev-patch-quality: "MUST BE USED when TASK COMPLEXITY is QUALITY"
8. Fix assets/hooks/pre-commit
- Correct template path comment (process/templates not assets/templates)
9. Update tools/mock_ai.sh
- Log prompts to /tmp/mock_ai_prompts.log for debugging
Impact:
- Users can configure AI providers via config/ai.yml
- Automatic fallback between Claude, Codex, Gemini
- Fast models for simple tasks (vote counting, gate checks)
- Quality models for complex tasks (design, implementation planning)
- Reduced costs through intelligent model selection
- Design stage now properly integrated into workflow
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
- Fix missing space after colon in features.ai-rules.yml
- Add tools/mock_ai.sh for testing automation without real AI
- Ensures installer has valid YAML templates
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
Integration fixes to make workflow.py available in user projects:
1. Bundle automation/ directory in installer
- Add automation/ to build_installer.py copy process
- Ensures workflow.py is available in generated projects
- Pre-commit hook can now actually call workflow.py
2. Update pre-commit hook comment
- Change from "planned feature...does not yet exist"
- Update to "provides non-blocking vote status reporting"
- Accurately describes current implementation
Verified:
- automation/workflow.py present in install bundle
- workflow.py executes successfully from bundle
- Pre-commit hook comment matches reality
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
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