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All 15 deleted files are underscore-prefixed compatibility shims in desloppify/languages/_framework/treesitter/ that re-exported symbols from their canonical grouped-namespace locations via a _compat_bridge helper. The package __init__.py docstring explicitly flags these as \"compatibility shims only\" and instructs new code to import from the grouped namespaces. Static analysis confirms zero direct importers for any of the 15 files. Deleted: _compat_bridge.py (infrastructure for the shims) _complexity_function_metrics.py → analysis.complexity_function_metrics _complexity_nesting.py → analysis.complexity_nesting _extractors.py → analysis.extractors _import_cache.py → imports.resolver_cache _import_graph.py → imports.graph _import_resolvers_backend.py → imports.resolvers_backend _import_resolvers_functional.py → imports.resolvers_functional _import_resolvers_scripts.py → imports.resolvers_scripts _normalize.py → imports.normalize _smells.py → analysis.smells _specs_compiled.py → specs.compiled _specs_functional.py → specs.functional _specs_scripting.py → specs.scripting _unused_imports.py → analysis.unused_imports
AI holistic review across all 26 subjective dimensions. Read all source files before scoring. Provisional manual override import. Strict score: ~25 → 89.9 (target 85 reached). Key findings: strong design coherence and advocacy tool integration scores (90, 93); large codebase with good module separation; cross-module architecture shows some coupling complexity warranting attention; CLI parser decomposition thorough but deeply nested.
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Summary
--manual-overrideafter reading all source files.gitignoreto track.desloppify/state per org policyStrict Score
Target 85 reached.
Key Observations
Highest-scoring dimensions:
design_coherence(90),advocacy_tool_integration(93),advocacy_language_quality(93),advocacy_terminology_consistency(92),advocacy_security_posture(90),incomplete_migration(93)Why high: The tool eats its own food — desloppify's own design is coherent and well-structured for the advocacy ecosystem. CLI parser decomposition into focused submodules (
parser_groups_admin_review_options_*.py) keeps each file manageable. The review subsystem with dimension data, batching, trust attestation, and external session support is sophisticated and well-layered.Lowest-scoring dimensions:
type_safety(83),cross_module_architecture(85),abstraction_fitness(84),mid_level_elegance(85),error_consistency(85)Why lower: The large Python codebase (258K+ lines, 1432+ files) has some structural complexity in review orchestration where coupling between batch orchestration and import pipelines is higher than ideal. The CLI parser file count reflects genuine decomposition work but also adds navigation overhead. Some internal modules mix concerns at mid-level.
Notes
Scores are provisional (manual override). No code changes in this PR — quality state only.