{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/1e0f73c195544dbfb5e217fb0bfa948d\" frameborder=\"0\" width=\"1920\" height=\"1440\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1440,"width":1920,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1440,"thumbnail_width":1920,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/1e0f73c195544dbfb5e217fb0bfa948d-240afac67f1833dd-full.jpg","duration":678.446,"title":"Leveraging Claude Code for Synthetic Data Generation 🚀","description":"In this video, I discuss how we utilize Claude Code for our synthetic data projects, emphasising the importance of proper architecture and iterative development. I share my experience using ChatGPT 5 to generate a detailed project plan that includes data generation instructions and internal validation processes. I highlight the significance of creating a fine-grained execution plan and the necessity of testing after each step to ensure everything works as intended. I encourage viewers to adopt a structured approach to feature creation while maintaining rigorous software engineering principles. Please consider implementing these practices in your own projects for better results."}