The exercise involved five AI models responding to a prompt to create a Rust function for determining leap years. Performance varied, with Kilo Code models demonstrating detailed explanations and accuracy. ChatGPT and Claude excelled in using the Rust test harness, while Qwen asked clarifying questions. Overall, the models were effective but had differing strengths.
When unsure about using an API, leverage an AI client to generate the correct endpoint and parameters. Describe the usage and desired data, stating the provider. This method simplifies obtaining accurate curl commands or code samples, reducing reliance on documentation while maintaining security regarding sensitive information like API keys.
This blog post details the author’s experience using Kilo Code, an AI agent, to develop a CLI application for calling APIs and storing data in a LibreCalc ODS file. The author walks through the installation, setup, and coding process, highlighting the efficiency and effectiveness of using AI for software development tasks.