Towards Data Science is a community-powered publication that showcases work in data science, machine learning and artificial intelligence. Every day newcomers, seasoned researchers and industry practitioners publish tutorials, research notes and real-world case studies that help the field move forward.

Towards Data Science

A developer shares their optimized coding workflow centered around Claude Code in the Warp terminal. Key techniques include using Git worktrees to run multiple AI agents in parallel without conflicts, creating slash commands for repetitive prompts, maintaining a low threshold for delegating tasks to agents, and always using frontier models despite higher costs. The setup organizes work by folders in Warp tabs with split panes for concurrent agents, switching to Cursor only for critical infrastructure requiring manual control.

Maximum-Effiency Coding Setup

<p>For only $200/month, you too can decrease understanding of what’s happening in your codebase.</p>
