Anthropic’s Claude 4 models were marketed for enhanced reasoning and coding abilities, but the true breakthrough lies in the development of AI agency. While many evaluations focus on code accuracy and benchmark results, hands-on testing of Claude 4 reveals its capacity to grasp overall development goals, persistently pursue solutions, and navigate obstacles autonomously. This goes beyond the simple generation of code. To assess Claude 4’s potential, I undertook a real-world task: developing an OmniFocus plugin that integrates with OpenAI’s API. This project demanded not only coding skills but also an understanding of documentation, effective error handling, coherent user experience design, and troubleshooting—requirements that showcase the AI’s initiative and persistence. This holistic approach to coding and development underscores a shift from conventional benchmarks to real-world applications that highlight AI’s evolving capabilities. This insight could reshape how we perceive AI’s role in software development.
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