Testing Plan: 1. C++ Pybindings Validation (GTest & Pytest): Test Cases:: test_safe_assign_binding_integrity: Pass Boolean, Integer, and Enum string types from Python dictionaries into C++ hexa::RunConfig via Pybind11. TestManifestBridge: Validate C++ hexa::CompilationResult properties correctly reflect into Python ManifestModel schema. ConfigSafetyTest.HandlesMalformedJSONInjection: Inject deeply nested or malformed JSON payloads into RunConfig::from_json. Expected Outcomes:: C++ layer extracts Python variables without segmentation faults. Type mismatches or overflows trigger controlled fallbacks or raise caught std::invalid_argument exceptions passed back to Python. Manifest generation strictly enforces mandatory fields. Verification Methods:: Pytest assertions on data type mapping (isinstance). GTest EXPECT_NO_THROW and EXPECT_EQ ensuring safe fallback values (e.g., SEEDLESS_VALUE). 2. Class Object Integrity (C++, Python, TypeScript): Test Cases:: C++ Core:: OptimizerLogicTest for dead code elimination and constant folding; LinearizerTest for nested math AST translation; VMTest for memory bound checks (HighRegisterPressure), loop termination, and stack underflow logic. Python Backend:: TestOracle and HexaASTSerializer for validating accurate translation of native Python ast nodes to JSON. TypeScript Frontend:: BaseCRUD memento pattern tests (isDirty flag logic). BaseLibrary collection hydration. Expected Outcomes:: Optimizer reduces AST complexity without altering deterministic output. VM halts predictably on stack underflow or type mismatch (ThrowsOnTypeMismatch). TS models track local state mutations and revert cleanly. Verification Methods:: GTest executing bytecode and validating literal extraction (get_double). Pytest validating dictionary structure of serialized AST. Vitest verifying Svelte $state reactivity and dirty flags. 3. Backend Endpoint & Pydantic Structure Validation: Test Cases:: TestCompilerConfigDynamicOrchestration: Verify FastAPI endpoint schema matches the dynamically generated C++ SchemaBuilder payload. test_dispatch_pipeline_success: Post CommandPayload to /api/dispatch triggering database entry and background worker queue. TestCompileJobOrchestration: Validate DB integrity and cascading foreign keys across AST, CompilerConfig, and CompileJob. Expected Outcomes:: API endpoints correctly enforce BatchConfig and CommandPayload Pydantic contracts. Missing required fields yield 422 Unprocessable Entity. Authorized requests insert SQLite records and spawn multiprocessing tasks successfully. Verification Methods:: Pytest TestClient executing HTTP requests. SQLAlchemy inspect(CompilerConfig) asserting exact column parity with C++ configuration definitions. 4. Frontend Data Dispatch Accuracy: Test Cases:: BaseCRUD.Validation: Pass invalid/incomplete forms into TS model before dispatch. getValidPayload: Verify stripping of UI-only properties (e.g., isEditing) before network transmission. Expected Outcomes:: Zod schemas intercept malformed data client-side, throwing ValidationError and halting fetch. Generated payloads strictly match the backend's expected JSON format. Verification Methods:: Vitest expect(() => getValidPayload(true)).toThrow(). Spying on internal apiFetch calls to assert the shape of the intercepted HTTP body. 5. End-to-End API Integration & Telemetry Synchronization: Test Cases:: runIntegrationSuite: Execute chained sequence creating ResearchTier -> LLMServer -> Prompt -> LLMModel -> PromptConfig. FullChainTest: Inject Python AST payload, execute compiler pass, and await trace result. Expected Outcomes:: System maintains state synchronization across the network boundary. C++ execution yields physical .hex and .meta.json files. Database accurately links execution Manifest to the original CompileJob. WebSocket/Polling loops hydrate the UI RegisterGrid and ASTViewer with zero data mutation. Verification Methods: Vitest polling tests resolving simulated backend responses. GTest fs::exists verifying absolute file paths of generated artifacts in the scoped temporary workspace.