Why one developer prefers cheap, reliable AI models over Claude for coding

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A developer writing on DEV Community argues that expensive AI models like Claude are unnecessary for structured engineering workflows. The author's core criterion is instruction-following consistency, not raw reasoning power, since tasks are well-defined with strict boundaries. While acknowledging Claude's strengths in reasoning and long-context understanding, the author cites usage limits and cost as practical drawbacks that disrupt workflow continuity. Cheaper alternatives such as DeepSeek via OpenCode have proven sufficiently reliable for following structured instructions without overstepping constraints. The author concludes that for clearly scoped engineering work, predictability and affordability outweigh the appeal of more powerful AI models.

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