Introduce AutoMetabuilder core components and workflow packages:

- Implement core components: CLI argument parsing, environment loading, GitHub service creation, and logging configuration.
- Add support for OpenAI client setup and model resolution.
- Develop SDLC context loader from GitHub and repository files.
- Implement workflow context and engine builders.
- Introduce major workflow packages: `game_tick_loop` and `contextual_iterative_loop`.
- Update localization files with new package descriptions and labels.
- Streamline web navigation by loading items from a dedicated JSON file.

ROADMAP.md

@@ -75,4 +75,4 @@
 ## Phase 11: Technical Debt
 - [x] **Structured workflow logging**: Add debug/trace warnings when parsing workflow definitions so graph builders surface malformed JSON and unbound bindings.
 - [x] **Route modularization**: Split `backend/autometabuilder/web/server.py` into focused route modules or blueprints so each file stays under 100 LOC and supports DI of helpers.
-- [ ] **AJAX contract tests**: Expand the backend test suite to cover `/api/workflow/graph`, `/api/workflow/plugins`, and nav/translation payloads with mocked metadata so API drift is caught early.
+- [x] **AJAX contract tests**: Expand the backend test suite to cover `/api/workflow/graph`, `/api/workflow/plugins`, and nav/translation payloads with mocked metadata so API drift is caught early.

backend/autometabuilder/web/routes/context.py

@@ -18,7 +18,7 @@ from ..data import (
     summarize_workflow_packages,
 )
 from ..run_state import bot_process, current_run_config, mock_running
-from ..roadmap_utils import is_mvp_reached
+from autometabuilder.roadmap_utils import is_mvp_reached
 
 context_bp = Blueprint("context", __name__)