{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/e2ab7a2dc7354bff88c9f528398e1bbf\" 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/e2ab7a2dc7354bff88c9f528398e1bbf-3921baa2c16885c2.gif","duration":1259.532,"title":"Optimizing AI Workflows with spec-kit and Beads","description":"In this video, I share my AI workflow while building a project called The Grid, which is a type safe terraform state back-end. I discuss how I've been using and modifying spec-kit for a more advanced Claude Code usage, emphasizing the importance of functional specifications and user stories in LLM development workflows. I also highlight the integration of steveyegge/beads as an issue tracker to streamline task management, improve LLM efficiency and zjrosen/perles to keep the human in the loop. I encourage viewers to explore the open-source resources available in the repository and consider adopting similar workflows to enhance their own projects. Please let me know if you have any questions or need further clarification on any of the tools mentioned."}