LLM Codegen Parallelization: A Productivity Boost with Git Worktrees and Tmux

Nicholas Khami shares his experience parallelizing multiple LLM code generators (Claude Code, Codex) using Git worktrees and tmux. He found significant efficiency gains; even with inconsistent individual LLM output quality, running multiple agents concurrently drastically increases the chance of getting usable code. However, manually managing multiple worktrees and tmux sessions is cumbersome. To solve this, he and his co-founder are building `uzi`, a CLI tool to streamline the workflow, providing a smoother developer experience by automating tasks like starting agents, sending prompts, running commands, previewing, committing, and creating PRs. This promises to greatly enhance developer productivity, and the parallel processing philosophy extends beyond coding, applicable to legal contract review and marketing data analysis. The future will likely see more software integrating similar parallel execution capabilities.