---
title: "This is a sample AGENTS.md file from my classes"
tags:
  - wiki
  - sources
sources:
  - "[[This is a sample AGENTS.md file from my classes]]"
domains: [agentic, skills]
date: "2026-07-17T06:23:23.309Z"
created: "2026-07-17T06:23:23.309Z"
includeInRss: false
---

# This is a sample AGENTS.md file from my classes

## Takeaways
- Sample **AGENTS.md** for university CS courses: AI assistants are **teaching aids**, not assignment solvers.
- **Should do**: explain concepts, point to lectures/docs, review student code, guide debugging with questions, small (2–5 line) illustrative examples, explain errors.
- **Should not do**: full implementations, complete TODOs, quiz answers, large refactors, requirements-to-code conversion.
- Teaching loop: clarifying questions → lecture references → suggest next steps → review specific improvement areas → explain why.
- Good/bad interaction examples included (x86 loops)—concrete pattern for course-scoped agent guardrails.

## Notes
GitHub Gist by 1cg/delineas; lower restriction than Stanford CS336's CLAUDE.md (allows tiny code snippets). Reference template for education-context AGENTS.md vs. vault productivity agents.

## Open questions
- Which guardrail patterns from this gist vs. CS336 CLAUDE.md belong in vault `AGENTS.md` for non-education contexts?