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Solo developer reveals how GPT-4o, Claude 3.5 Sonnet, and Gemini 1.5 Pro each excel at different coding tasks after three months of daily use.

r/artificialApr 19, 20261 min read
Solo developer reveals how GPT-4o, Claude 3.5 Sonnet, and Gemini 1.5 Pro each excel at different coding tasks after three months of daily use.

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3 Key Points

  1. GPT-4o dominates rapid prototyping with strong boilerplate generation and reliable function calling, though it can be confidently incorrect on obscure APIs

  2. Claude 3.5 Sonnet leads at code refactoring and understanding existing structures, offering better explanations but erring on the side of caution with edge cases

  3. Gemini 1.5 Pro's 1M token context window is valuable for searching large codebases, but it ranks weakest at generating actual code logic

  4. The developer's optimal workflow combines Claude for architecture decisions, GPT-4o for rapid development, and Gemini as a codebase search tool

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