Cross-Model Workflow
Multi-model orchestration pattern: Claude Code (Opus) plans and implements, then Codex CLI (GPT) acts as an independent QA reviewer and verifies the implementation. Both runtimes are used in a sequential pipeline, each in its role, for cross-critical review without confirmation bias.
Strengths
- Confirmation bias eliminated, two LLMs with different weights on the same code
- Role specialization: Claude Opus excels at planning/impl, GPT at factual QA review
- Simple sequential pattern, no complex orchestrator, just two CLI sessions in pipeline
Limitations
- Double token cost, two LLMs on the same scope vs one
- Operational friction: managing two CLI runtimes (Claude Code + Codex) with separate configs
- Style divergences between both models, the final code may have minor inconsistencies
Best for
- Critical features where an independent second look justifies the double token cost
- Teams already having both runtimes in their stack and wanting to combine them effectively
- Solo devs wanting an external reviewer without human cost, Codex as a QA pair programmer