Baton vs Boffin

Pricing, capabilities and platforms side by side. Prices are as of the "Pricing checked" date in the table.

Baton

Baton sits in your menu bar and polls the signals your machine already produces — no manual logging, no clipboard tricks — to show you which AI coding sessions are mid-run and which have handed the decision back to you. The core metaphor is the 🎽 icon: the baton is with the agent, or it's with you. Click the menu, see the queue, jump straight to the session that needs a response. This is a local Python app, MIT-licensed, installed via a shell script, and it runs entirely on your machine. It works with Claude Code and Codex threads on macOS — nothing else, and no roadmap to something else is documented.

Boffin

Boffin sits between your codebase and agents like Cursor, Claude Code, or Codex, feeding each edit the specific rules that apply to that file rather than a flat global prompt. The GitHub page describes it as a staff-engineer control layer: it enforces verification steps after code changes and routes constraints designed to protect existing test coverage and API contracts. It ships via npx boffinit, carries an MIT license, and has no hosted API or agent logic of its own — it controls agents, it does not become one. Where it shows limits: if your team needs dynamic rule generation or the constraint set grows complex enough to require its own maintenance cycle, you are now managing a rules system on top of your codebase. Teams that reach that ceiling tend to bake the constraints directly into their CI pipeline instead.

Specs come from each tool's own site and docs (how we test). AIDiveForge is editorially independent.