This invention describes a software tool that helps create computer programs. When given a natural language instruction for a task, it specifically breaks that task into two halves. For each half, it decides the best programming language to use, considering factors like the team's programming skills and how well each language fits the task.
Why it matters: Filed before the widespread capabilities of Large Language Models (LLMs) for natural language understanding and code generation were fully mature. LLMs can now readily interpret complex commands, decompose tasks, and generate code across multiple languages, making the core functionality more accessible.
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