This research introduces a novel approach that uses large language models to streamline the process of API synthesis by intelligently assembling predefined components.

• Transforms traditional time-consuming search strategies into efficient LLM-guided API construction
• Reduces development time by automating component selection and integration
• Demonstrates how AI can solve complex software engineering challenges
• Provides a scalable solution for modern software integration needs

For engineering teams, this approach offers significant potential to accelerate development cycles while maintaining API quality, enabling faster time-to-market for integrated software solutions.

An approach for API synthesis using large language models