Show HN: Intent Layer: A context engineering skill for AI agents

Give your AI a map; devs hype the fix, critics cry copycat

TLDR: Intent Layer adds simple guide files to code so AI assistants stop wandering and fix issues faster. The crowd loved the focus on intent, but a credit flare-up erupted as some called it a near copy and demanded clear shout-outs to the original approach, making this both useful and controversial.

The maker of “Intent Layer” says they’ve given AI assistants a literal guidebook for your code: simple AGENTS.md files that tell bots where the real logic lives and what to avoid. Fans cheered the demo where the agent stopped burning its entire “reading budget” and beelined to the bug. But the comments quickly split into two camps. One side shouted: hallelujah, focus the bot’s mission! Agent_Builder argued most AI mistakes aren’t dumb-model problems, they’re “intent drift”—the bot helpfully wanders off. Their fix: make intent explicit at every step and treat it like a rule, not a suggestion. The other side went full receipt-checker. moonshotideas praised the polish, then accused it of being “more or less a direct copy,” demanding louder credit to the original framework and dropping a link to intent-systems. Cue the copycat vs. remix debate. The memes were chef’s kiss: “GPS for confused code bots,” “Clippy’s Lonely Planet: Your Repo,” and “AGENTS.md is the ‘Do Not Press’ sticky note for robots.” Whether you call it context engineering or just common sense, the crowd agrees on one thing: AI needs a map—just don’t forget who drew it first.

Key Points

  • Crafter Station released Intent Layer, a context engineering skill for AI agents.
  • The tool works with Claude Code, Codex, Cursor, Copilot, and more.
  • Intent Layer sets up AGENTS.md files to provide folder-level purpose, contracts, and pitfalls.
  • Running /intent-layer analyzes codebases, suggests context nodes, and audits existing ones.
  • With AGENTS.md, token usage dropped (40k to ~16k) and the bug was found immediately.

Hottest takes

“most agent failures weren’t model issues but intent drift” — Agent_Builder
“amazing job… but this is more or less a direct copy—give credit” — moonshotideas
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