SyntyCode: Raw Tree-Sitter Architect Engine

SyntyCode is an advanced, language-agnostic software architecture engine built specifically for autonomous AI agents. It leverages the raw analytical power of the Tree-Sitter ontology inside an optimized SQLite Graph Database (agy_nodeos.db), providing models with unparalleled semantic search, relational architecture querying, and 100% loss-less transpilation across 50+ programming languages.

🚀 The Production-Grade Edge (v2.0)

1. Zero-Translation Fidelity SyntyCode caches the exact, pristine raw_code inside SQLite FileNode containers. When decoding the graph back to disk, the Engine mathematically guarantees zero translation loss or formatting destruction. AI format preservation is 100% perfect.
2. Native Termux Binary Bypass Relying on Python pip C-bindings to compile AST parsers in mobile/ARM64 environments frequently crashes (dlopen failures). SyntyCode bypasses this entirely by hooking into Termux's flawlessly pre-compiled, native tree-sitter parse -x CLI binaries for seamless XML extraction.
3. The Ultimate Raw Ontology SyntyCode does not abstract languages into generic nodes (like ClassNode). It embraces the true Tree-Sitter schema, dumping literal class_definition, expression_statement, and binary_operator dependencies straight into the relational graph.

📦 Dependencies

SyntyCode is engineered to run universally in restricted environments (like Android Termux).

• Python 3.8+ (For the Decoder & CLI)
• SQLite3 (For the Relational Graph DB)
• Termux Tree-Sitter Core: pkg install tree-sitter tree-sitter-parsers
• Zero third-party pip C-compiler dependencies needed!

🤖 The AI Read/Write Loop (Architect Schema)

AI Agents manipulate the codebase via the Architect Schema JSON. This provides a perfectly constrained sandbox for LLMs to safely alter architecture without directly breaking complex file systems.

1. Extract Context

Extract the physical database context into a clean JSON for the AI.

syntycode context MyProject > architecture.json

2. AI Mutates JSON (Example)

{
  "module_name": "MyProject",
  "files": [
    {
      "file_name": "main",
      "language": "python",
      "code": "print('Hello Production-Grade SyntyCode!')"
    }
  ]
}

3. Ingest Logic (Tree-Sitter XML Mapping)

The engine reads the JSON, stores the pristine code string securely, and automatically queries the native Tree-Sitter CLI to extract and map every structural dependency (classes, logic, variables) natively into SQLite.

syntycode ingest-architect architecture.json

4. Decode the Codebase

Restore the modified database module back to the physical file system.

syntycode decode MyProject python -o ./src_output