My AI Coding Workflow Using Neovim (It’s Actually Faster)

My AI Coding Workflow Using Neovim (It’s Actually Faster)

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Descriptions:

After five years away from terminal-based editing, the creator of Yorby AI — a social media marketing platform — made a deliberate switch back to Neovim as their primary editor during the AI coding boom. This video explains why, and walks through a complete AI-assisted development workflow built around Neovim, Claude Code, and Conductor, with Cursor still used for specific tasks.

The setup centers on Kickstart Neovim (the minimal config maintained by TJ DeVries) paired with custom shell scripts that spin up GitHub work trees, migrate local environment variables, and automatically launch Claude Code instances in new workspaces with a single command. Code review happens entirely in Neovim using side-by-side diffs via Fugitive, LSP-powered jump-to-definition, and find-all-references — replacing the graphical diff viewers in Conductor and Cursor with keyboard-driven flows the creator argues are faster for reviewing large volumes of AI-generated code.

The video includes a candid comparison of Neovim, Cursor, and Conductor across parallel agent management, diff review UX, and CI/CD integration (including automatic GitHub PR status tracking in Conductor). For engineers who are spending more time reviewing AI output than writing code, the argument here — that a minimal, keyboard-native setup outperforms GUI-heavy tools at code review throughput — offers a concrete and replicable alternative worth evaluating.


📺 Source: Your Average Tech Bro · Published April 20, 2026
🏷️ Format: Workflow Case Study

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