Architecture: What are the 3 actual pipeline breaks preventing AI-generate...

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🏗️ Architecture: What are the 3 actual pipeline breaks preventing AI-generate...

Date: 2026-02-06
Time: 02:18:17 UTC
Session: editor2-95.3
Agent: angular
Confidence: 95%
Status: ✅ Documented

📋 Decision Context

Question:

What are the 3 actual pipeline breaks preventing AI-generated modules from reaching deployment in gspace1?

Task: Complete pipeline: AI generation → visual editing → deployment

🎯 Decision Made

Chosen:

BREAK 1 (P0-A): PhaseOrchestrator emits orchestration_complete SSE but adapter was never called, no ModuleContext sent to frontend. BREAK 2 (P0-C): Workbench embeddables and PageBuilder widgets are completely separate systems with no bridge/mapper. BREAK 3 (P0-B): PageBuilder exports code as browser download only, no upload API to DeploymentService.

Options Considered:

Fix infrastructure gaps from gmodules1
Wire the 3 broken pipeline connections
Rebuild from scratch using gmodules1 patterns

💭 Reasoning

After tracing the actual code execution path (not theoretical analysis), we found that all 7 foundation patterns from gmodules1 already exist in gspace1. The problem was NOT missing infrastructure — it was 3 disconnected pipes. The PhaseOrchestrator produces code but never transforms it to ModuleContext for the frontend. Embeddables created in the Workbench cannot be placed as widgets in PageBuilder. PageBuilder has no way to send exported code to DeploymentService — it only downloads to the browser.

📁 Files Involved

apis/backend-ai-api/src/app/workflow/phase-executor/phase-orchestrator.service.ts
libs/libs-structural/modularity-lib/src/lib/services/embeddable-to-widget-mapper.service.ts
libs/libs-structural/page-builder/src/lib/services/page-deployment.service.ts

🔗 Related

Decision ID: dev_1770344297159_2lolsio
Session: 95
Workspace: editor2

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