{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/b4c47e3491504375b9244ea69fe095df\" frameborder=\"0\" width=\"1280\" height=\"960\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":960,"width":1280,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":960,"thumbnail_width":1280,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/b4c47e3491504375b9244ea69fe095df-f6e1f2d2a39a3920.gif","duration":133.975,"title":"To-Do Created with Z.ai","description":"Hi everyone, in this follow-up video, I wanted to share the impressive results we achieved with our coding agent for Django applications, similar to Loveable. We explored different frameworks, including OpenAI's Agents SDK and Pydantic, and I was particularly impressed with the new GLM 4.5 model from Zdata.ai, despite some initial timing issues. I demonstrated how it created a landing page and added tasks with due dates and priorities, which looked fantastic. I encourage you to check out the results and think about how we can implement similar features in our projects. Let's keep pushing forward with our AI initiatives!\n\nWorkshop materials: https://github.com/alexeygrigorev/workshops/tree/main/coding-agent"}