From the course: How to Use AI Reasoning Models: Practical Applications with Hands-On Exercises

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Software development

Software development

From the course: How to Use AI Reasoning Models: Practical Applications with Hands-On Exercises

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Software development

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- [Instructor] Struggling with large code reviews? Reasoning models can help. They review code in the background, catching even small changes across multiple files, something human reviewers might miss. For large software projects, they ensure high code quality with minimal oversight. While GPT-4o and GPT-4o-mini work well for small code iterations due to their low latency, O-series models shine in deeper reasoning tasks. They can plan and execute complex software system. They generate high quality code, structured code. They often solve problems in just one attempt or one shot, unlike GPT-4o which may need multiple tries. Comparison with GPT-4o on the Suite Benchmark confirms the O-series superior performance in real world software engineering and maintenance tasks. Benchmarks like code forces highlight the strength in algorithmic problem solving, making them invaluable for developers and businesses. Early adopters praise reasoning models for the impact on code review and software…

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