Outline: tibco-apigee-migration-workbench Feasibility Analysis
- Context seed — Paint the problem of manual API migration at scale; introduce the workbench as a structured pipeline that automates the tractable parts and surfaces the hard parts for human review.
- What the system must do — Trace a developer's journey: feed source API artifacts into the pipeline, receive a generated Mulesoft project, review flagged policies, approve or fix, mark migration done. Cover what the system does not do (deploy, manage Mulesoft runtime, handle non-API integrations).
- Where AI adds value — Named tasks: policy semantic matching (RAG), migration code generation (LLM), confidence scoring for human-review routing, progressive corpus building from reviewed migrations.
- Architecture — Five layers: (1) Ingestion & parsing, (2) Policy RAG layer (pgvector + OpenAI embeddings + platform docs), (3) Policy mapping layer (source policy → target policy), (4) Model routing layer (lightweight vs. heavyweight model per policy complexity), (5) Migration execution + Mulesoft project generation. Followed by Mermaid component diagram.
- What is hard — Named challenges:
- Behavioral equivalence validation (genuine risk from premise check)
- Policy complexity gradient (simple 1:1 vs. chained scripts — routing boundary is non-trivial)
- RAG coverage gaps (undocumented platform runtime behavior)
- Human review UX (what does a reviewer actually see and act on)
- Corpus cold start (first 20-30 APIs have no prior migration history to learn from)
- Feasibility verdict — Table dimensions: Core AI task (policy mapping + generation), Output quality, Validation reliability, Integration surface (source file parsing), Regulatory/compliance, Scale path.
- Why these outputs — Why? table for: Generated Mulesoft project, Policy mapping confidence score, Human-review queue, Migration progress tracker.
- Build order — Spine:
Ingestion & Parsing → Policy RAG → Policy Mapping Layer → Migration Execution → Human Review Gate. Bulges: model routing layer (off policy mapping), progress tracker (off human review gate), corpus feedback loop (off human review gate). Full Gantt + flowchart (implementation planning depth).
- Open questions — 5 items: interaction modality (CLI/web/API), output consumer workflow, source artifact delivery (files vs. live API), validation strategy (contract tests / traffic replay), deployment handoff owner.