Boffin: Adding an Architectural Layer to AI Agents

Instead of just letting an LLM agent loose on your files, this approach forces the agent to adhere to specific structural rules before it commits a change. It's essentially a way to implement guardrails for LLM agents so they don't ignore your project's design patterns.

For anyone building a custom AI workflow or experimenting with agentic frameworks, this is a practical way to handle deployment of complex features without the agent hallucinating a completely new (and wrong) folder structure.

If you're trying to integrate this into a local setup, the logic follows a basic routing pattern:

{
  "constraint_layer": "Boffin",
  "action": "route_constraints",
  "context": "architectural_rules",
  "target": "ai_coding_agent"
}

It's a smart move for teams moving from simple autocomplete to full-blown autonomous agents who actually need to respect a style guide or a specific system architecture.