LLMs systematically abbreviate node types (e.g. "func" instead of
"function") and edge types (e.g. "extends" instead of "inherits"),
causing dashboard validation failures. This combines two fixes:
Option A: Rename the ambiguous `func:` ID prefix to `function:` across
all prompts, source code, tests, and example data so LLMs see consistent
naming. Also fix `relates_to` ghost edge type in django.md.
Option B: Add NODE_TYPE_ALIASES and EDGE_TYPE_ALIASES normalization maps
in schema.ts that transparently correct common abbreviations before Zod
validation, as a runtime safety net.
Closes#36
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Replace the TypeScript/JavaScript-biased analysis pipeline with a truly
language-agnostic system. The core architecture was already language-neutral
(graph schema, dashboard, search) — the bias lived in agent prompts,
tree-sitter plugin, and language-lesson system.
Core changes:
- LanguageConfig + FrameworkConfig types with Zod validation
- LanguageRegistry (12 languages) and FrameworkRegistry (10 frameworks)
- Config-driven TreeSitterPlugin replacing hardcoded TS/JS grammars
- PluginRegistry now delegates to LanguageRegistry for extension mapping
- Language-lesson system uses config for display names and concepts
Prompt system:
- SKILL.md generalized: dynamic injection of language snippets and
framework addendums instead of hardcoded if/else conditionals
- 12 language prompt snippets (languages/*.md) with concepts, patterns,
frameworks per language
- 10 framework addendums (frameworks/*.md) with canonical file roles,
edge patterns, architectural layers — Django/FastAPI/Flask preserved
and split, plus React/Next.js/Express/Vue/Spring/Rails/Gin added
- Extended entry points, directory patterns, and test patterns across
all 12 language ecosystems in base prompts