Why Routing Every Coding Session to One Model Is Becoming a Costly Mistake
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Most coding agents don't spend the majority of their time doing hard reasoning. After looking through hundreds of coding agent traces, we found that frontier models like Claude Opus, GPT-5.5, and GLM-5.2 were often handling routine work such as searching files, rerunning tests, updating imports, and reading logs. Those steps are necessary, but they rarely need the strongest model available. The problem is that most agents pick one model at the beginning of a session and stick with it until the…
1Key Takeaways
- Most coding agents don't spend the majority of their time doing hard reasoning.
- After looking through hundreds of coding agent traces, we found that frontier models like Claude Opus, GPT-5.5, and GLM-5.2 were often handling routine work such as searching files, rerunning tests, updating imports, and reading logs.
- Those steps are necessary, but they rarely need the strongest model available.
- The problem is that most agents pick one model at the beginning of a session and stick with it until the….
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3Why it matters
Coding AI shifts how fast software ships and how much human review each change needs. DEV — ML reports that most coding agents don't spend the majority of their time doing hard reasoning.
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