The SANDBOX Method… 90% Faster AI Coding

Uploaded: 2025-09-01
[“The video discusses the challenges of wait times in AI coding workflows and introduces the BMAD method to streamline the development process through structured planning and parallel task execution using GitHub work trees.”,”It emphasizes how breaking down comprehensive tasks into smaller, parallel ones can drastically reduce execution time while maintaining code quality, showcasing a practical implementation for a Mac keyboard shortcut app.”]

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In this video, the presenter explores the challenges and solutions in AI-driven coding workflows, focusing on:

Addressing the issue of execution wait times using the BMAD method.
Utilizing GitHub work trees for parallel development to expedite tasks.
Splitting complex projects into smaller, manageable tasks to enable simultaneous processing.

The video further delves into:

Demonstrative use of Claude code and Scrum Manager agents for task implementation and validation.
Leveraging tools like Conductor for efficient project management and workflow optimization.
Highlighting specific use-cases like organizing AI-developed stories to improve project quality while reducing development time.

Quotes:

“AI coding has become incredibly powerful, but it’s created a new problem in my workflow: the wait time.”

“By running them in parallel instead, I changed the entire equation.”

“You’re not waiting for each piece to finish before starting the next one. Everything happens simultaneously…”