A Claude and GPT-5.5 fusion workflow for coding tasks
Claude and GPT-5.5 are given the same coding, debugging, or analysis prompt at the same time, then a fresh Claude combines the two answers without knowing which model wrote which one. The aim is to avoid choosing only one model and instead produce a stronger final answer from both outputs.
GPT-5.5 runs through Codex CLI using an existing ChatGPT , so the workflow avoids a separate API key and metered . Inside Claude Code, the process is packaged as a single /fuse command.
A found wins in some coding, debugging, and analysis cases, but the method did not win every time. The workflow is framed as an intermediate repeatable process for quality control, token saving, context and memory handling, debugging, and work.
Key points
- The workflow sends the same prompt to Claude and GPT-5.5 in parallel.
- A fresh Claude merges the two answers while blind to which model produced each one.
- GPT-5.5 runs through Codex CLI on an existing ChatGPT , avoiding a separate API key bill.
- Claude Code exposes the process through one /fuse command.
- Blind testing showed some wins, but the fusion approach was not always better.