fff.nvim sharpens file search for agents

This is a sharp, opinionated take on a boring but critical problem: if agents spend less time hunting files, they spend more time doing useful work. The upside is real, but the adoption barrier is mostly operational, not conceptual.

• –The native backend is the point: the project claims sub-10 ms search on a 50k-file codebase and uses extra signals like frecency, git status, and file size to rank results.
• –It is unusually agent-aware for a Neovim plugin, with MCP installation guidance and a workflow explicitly aimed at Claude Code, Codex, and similar harnesses.
• –The product sits in a crowded picker market, but its narrow scope is a strength if you want best-in-class file search rather than another all-purpose fuzzy UI.
• –Community reaction is broadly positive around speed and typo resistance, while install/build complexity and UI preferences look like the main friction points.
• –The Rust/nightly requirement and native binary setup will matter more than benchmarks for wider adoption.