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1 Billion RECORD CHallenge - AI Style - JAVAPRO International
Steve Poole tested AI coding tools for bug-finding, Javadoc generation, and JUnit creation using a 1,000-line Java program. Most tools excelled in documentation but struggled with bugs and tests, except for JetBrains AI Assistant, which produced compilable code. Poole then tackled the "1 Billion Records Challenge" to retrieve and analyze massive temperature data files, iterating prompts to improve results. Codeium, Amazon Q Developer, and Microsoft CoPilot produced functional code, but many failed on large datasets. Poole found AIs useful for code review and snippets, but complex coding tasks require iterative prompting and human intervention, limiting AI's current capabilities.
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1 Billion RECORD CHallenge - AI Style - JAVAPRO International
Steve Poole tested AI coding tools for bug-finding, Javadoc generation, and JUnit creation using a 1,000-line Java program. Most tools excelled in documentation but struggled with bugs and tests, except for JetBrains AI Assistant, which produced compilable code. Poole then tackled the "1 Billion Records Challenge" to retrieve and analyze massive temperature data files, iterating prompts to improve results. Codeium, Amazon Q Developer, and Microsoft CoPilot produced functional code, but many failed on large datasets. Poole found AIs useful for code review and snippets, but complex coding tasks require iterative prompting and human intervention, limiting AI's current capabilities.
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1 Billion RECORD CHallenge - AI Style - JAVAPRO International
Steve Poole tested AI coding tools for bug-finding, Javadoc generation, and JUnit creation using a 1,000-line Java program. Most tools excelled in documentation but struggled with bugs and tests, except for JetBrains AI Assistant, which produced compilable code. Poole then tackled the "1 Billion Records Challenge" to retrieve and analyze massive temperature data files, iterating prompts to improve results. Codeium, Amazon Q Developer, and Microsoft CoPilot produced functional code, but many failed on large datasets. Poole found AIs useful for code review and snippets, but complex coding tasks require iterative prompting and human intervention, limiting AI's current capabilities.
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