AI Multi-Engine Workflow in VS Code

Operational guide and prompt templates for GPT, Gemini, Claude, and GitHub Copilot integration in VS Code workflow.

AI Multi-Engine Workflow Introduction

This document summarizes the operational configuration for using GPT(ChatGPT), Gemini, Claude, and GitHub Copilot together in a coordinated research and engineering workflow for modeling and code development using VS Code.

Engine Roles

Engine Model Role
GitHub Copilot GPT-4.1 Inline coding,
refactors,
reliable Apply
ChatGPT (OpenAI) GPT-5.x Deep reasoning,
model design,
refactor planning
Gemini Pro Gemini 2.5 Pro Data pipeline,
schema reasoning,
ETL logic
Claude Sonnet / Opus Architecture comprehension,
conceptual critique,
writing

Operational Principle

  • Copilot maintains continuous full-repo awareness and applies edits.
  • ChatGPT performs high-level reasoning and mathematical/system design.
  • Gemini engineers data ingestion and validation pipelines.
  • Claude critiques architecture and synthesizes narrative outputs.

Rule: Only Copilot performs direct code application. Other engines produce plans or diffs for manual application.


Chat Session Persistence Matrix

Engine Where Chats Are Stored Persistence How to Review Later Export Options Repo / File Awareness Notes
GitHub Copilot Chat (VS Code) Local to VS Code (workspace session history) Persistent per workspace VS Code chat session history Export / Import chat sessions (VS Code commands) High (repo + workspace context) Not stored as “web history” in your GitHub account. Stored locally with VS Code’s workspace/session data.
Claude Code (VS Code) Local session store (Claude Code project/session files) Persistent, but UI can be fragile Resume / session history (when the extension UI cooperates) Manual copy; local file-based session history is recoverable High (project context + file reads) Claude Code stores sessions locally; several releases have had “history not showing” bugs even when the files still exist.
Gemini Code Assist (VS Code) Gemini Code Assist session history Persists across IDE sessions (until deleted) Gemini Code Assist history / Resume Previous Chat Manual copy (and whatever the extension provides) Moderate–High (open files / workspace context) Threads persist across IDE sessions unless you clear them.
ChatGPT (Web / Desktop) OpenAI account chat history Saved until deleted (or archived) Chat history sidebar Copy / manual export File awareness only via uploads/connectors Best place to keep “reasoning logs” that I want to persist independent of an editor session.
OpenAI Codex (VS Code extension) Depends on mode (cloud history + local session behavior varies) Not reliable enough to assume persistence Cloud history when available; local history may disappear on restart (varies by version) Manual copy; some users recover archived/local sessions from disk High (workspace + file context) Treat as an execution tool, not the canonical long-term log, unless you verify your version’s persistence behavior.

Summary Statement

Copilot applies code.
GPT-5 designs systems.
Gemini engineers data pipelines.
Claude critiques architecture.
The SOC prompt governs them all.