Honey For Devs

🍯 Honey (I Shrunk the AI)

Write less code and say less about it. Honey (I Shrunk the AI) by
GreenPT is a
cross-tool coding skill that cuts the output tokens AI coding agents spend —
making them emit less code *and* less prose without losing correctness. It works
with Claude (claude.ai and the API), Claude Code, Cursor, GitHub Copilot, Codex, Gemini CLI, Windsurf, Cline,
OpenClaw, oh-my-pi, Kiro, Kilo Code, Hermes Agent, Kimi Code, Devin CLI, Grok Build, Qoder,
Antigravity, and CodeBuddy. Three independent levers, applied reflexively:

1. Less code — YAGNI first. Walk a ladder (does it need to exist? → stdlib →
   language native → existing dependency → one line → minimum block) and stop at
   the first rung that works. The cheapest line is the one you never write.
2. Less prose — drop the wind-up, the hedging, the narration of code that
   already speaks for itself. Answer first.
3. Denser agent-to-agent handoffs — when the reader is another agent, not a
   human, hand it the most token-efficient format it parses losslessly (compact /
   columnar JSON, or ESON). Smaller handoffs with no loss of
   recovery (−49% on Opus 4.8, −15% on Opus 5.5; two tasks, so no p-value).
   Fires only here — never as a user-facing answer.

Honey combines what Ponytail
(minimal code) and Caveman (terse
prose) do separately, then goes further:

- Auto-intensity — lite / full / ultra chosen reflexively from the
  request, with no deliberation tax (it never spends reasoning tokens deciding
  *how* to comply — that would defeat the purpose on reasoning models).
- Safety carve-outs — input validation, error handling, auth, secrets,
  migrations, deletes, and anything you explicitly asked for are never
  compressed. Lazy ≠ broken.
- A skill family, not one prompt — an always-on core plus…