tegwick
a98e2fa329
Based on successful IssueActivity optimization (Issue #126), created a comprehensive Claude Code subagent specialized in datamodel enhancement: Agent Documentation (docs/sub_agents/datamodel_optimizer.md): - 4-phase optimization methodology (Discovery, Analysis, Enhancement, Validation) - Core patterns: property-based formatting, serialization consolidation - Integration framework with Claude Code ecosystem - Success metrics and implementation roadmap Practical Implementation Tool (tools/datamodel_optimizer.py): - AST-based datamodel discovery engine - Usage pattern analysis with impact scoring - Multi-format reporting (summary, detailed, JSON) - CLI interface for interactive and batch processing Real Codebase Validation: - Analyzed 97 datamodels in current codebase - Identified 350 usage patterns and 119 optimization opportunities - Potential 518 lines of code reduction - Correctly recognized IssueActivity optimizations from Issue #126 Core Capabilities: - Property-based formatting consolidation - Verbose serialization → single method calls - Test data consistency (dict mocks → proper objects) - Business logic encapsulation Agent provides systematic, reusable framework for datamodel optimization across any codebase while preserving interface compatibility. 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com> |
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| .. | ||
| chaos_results | ||
| agent_tooling_optimizer.py | ||
| chaos_test_runner.py | ||
| datamodel_optimizer.py | ||
| fix_paths.py | ||
| requirements_engineering_toolkit.py | ||
| run_architectural_tests.py | ||
| run_randomized_tests.py | ||
| schema_summary.py | ||
| testing_efficiency_optimizer.py | ||
| visualize_schema.py | ||