Unverified50% confidenceFactExact time
Models are being trained for specific Harnesses, causing Claude models to perform better in Claude Code and OpenAI models to perform better in Codex.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
10/30/2026
First Seen
Valid until: 1/28/2027
Sources
Is Harness Dead? Why the Creator of T3 Code Says Stop Obsessing Over AI Coding Tools
youtubeTheo - t3․gg10/30/2026
Related Entities
Related Claims
UnverifiedClaude Code and OpenAI Codex are both essentially a combination of a language model plus an execution harness, where the model proposes actions, the harness executes them, and results are fed back to the model in a loop until the model no longer requests any tool calls.78% similarUnverifiedThe course demonstrated that the same feature specification skill continued to work normally after being migrated between Claude Code and OpenAI Codex.77% similarUnverifiedClaude Code 的工具调用能力经过专门微调（Fine-tuning），Anthropic 在训练阶段通过大量函数调用示例训练模型75% similarUnverifiedThe approach of focusing deeply on programming use cases, building a data flywheel, and training the next-generation model was originally validated by Anthropic with Claude Code, and subsequently replicated by OpenAI through Codex.73% similarUnverifiedThe same Claude Code skill can be ported to environments that support similar extension protocols, such as Codex, OpenCode, and Antigravity.72% similar
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