- Add DEVELOPMENT_ROADMAP.md with 7-phase plan for LLM-driven optimization - Phase 1: Plugin system with lifecycle hooks - Phase 2: Natural language configuration interface - Phase 3: Dynamic code generation for custom objectives - Phase 4: Intelligent analysis and decision support - Phase 5: Automated HTML/PDF reporting - Phase 6: NX MCP server integration - Phase 7: Self-improving feature registry - Update README.md to reflect LLM-native philosophy - Emphasize natural language workflows - Link to development roadmap - Update architecture diagrams - Add future capability examples - Reorganize documentation structure - Move old dev docs to docs/archive/ - Clean up root directory - Preserve all working optimization engine code This sets the foundation for transforming Atomizer into an AI-powered engineering assistant that can autonomously configure optimizations, generate custom analysis code, and provide intelligent recommendations.
20 lines
542 B
JSON
20 lines
542 B
JSON
{
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"permissions": {
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"allow": [
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"Bash(\"c:/Users/antoi/anaconda3/envs/test_env/python.exe\" -c:*)",
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"Bash(\"c:/Users/antoi/anaconda3/envs/test_env/python.exe\" examples/test_journal_optimization.py)",
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"Bash(while true)",
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"Bash(do sleep 30)",
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"Bash(if pgrep -f \"test_journal_optimization.py\")",
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"Bash(/dev/null)",
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"Bash(then echo \"Still running...\")",
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"Bash(else echo \"Completed!\")",
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"Bash(break)",
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"Bash(fi)",
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"Bash(done)"
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],
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"deny": [],
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"ask": []
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}
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}
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