Why One Model per AI Workflow Is the Wrong Abstraction
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Most AI applications make model selection a configuration decision: const response = await client . chat . completions . create ({ model : " openai/gpt-5 " , messages , }); A team chooses a capable model during development, ships it, and eventually every request in that code path flows through the same model. This is understandable. The stronger model works. Replacing it could create subtle quality regressions. Generic model benchmarks rarely represent the application's actual business…
1Key Takeaways
- Most AI applications make model selection a configuration decision: const response = await client .
- create ({ model : " openai/gpt-5 " , messages , }); A team chooses a capable model during development, ships it, and eventually every request in that code path flows through the same model.
- Replacing it could create subtle quality regressions.
- Generic model benchmarks rarely represent the application's actual business….
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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 AI applications make model selection a configuration decision: const response = await client .
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