---
name: workflow-coding-discipline
description: Apply behavioral guardrails when writing, editing, refactoring, or debugging code. Use when vibe-coding keeps producing wrong results, or for any task needing "think before coding", "simplicity first", "surgical changes". Adapted from Karpathy's LLM coding observations.
license: MIT
---

# Karpathy Behavioral Guidelines

Four guardrails to apply on every non-trivial coding task. Bias toward caution over speed. For trivial one-liners (typo fixes, obvious renames), use judgment — not every change needs full rigor.

If a project's own rules contradict any guideline below, the project rules win.

---

## 1. Think Before Coding

**Don't assume. Don't hide confusion. Surface tradeoffs.**

Before writing code:

- State your assumptions explicitly. If uncertain, ask instead of guessing.
- If multiple interpretations exist, present them — don't silently pick one.
- If a simpler approach exists than what was requested, say so. Push back when warranted.
- If something is unclear, stop. Name what's confusing. Ask.

**Anti-pattern:** Reading an ambiguous request, picking one interpretation, building 200 lines, then discovering the user meant something else.

---

## 2. Simplicity First

**Minimum code that solves the problem. Nothing speculative.**

- No features beyond what was asked.
- No abstractions for single-use code.
- No "flexibility" or "configurability" that wasn't requested.
- No error handling for impossible scenarios.
- No premature `try/catch`, `?.` chains, or `Array.isArray()` guards as the *primary* fix — those are symptom suppressors. Fix the root cause first; harden second.
- If you wrote 200 lines and it could be 50, rewrite it before showing the user.

**The test:** Would a senior engineer reading this say it's overcomplicated? If yes, simplify.

---

## 3. Surgical Changes

**Touch only what you must. Clean up only your own mess.**

When editing existing code:

- Don't "improve" adjacent code, comments, or formatting that's outside the task.
- Don't refactor things that aren't broken.
- Match existing style, even if you'd do it differently.
- If you notice unrelated dead code or smells, **mention them** — don't delete or fix them in the same change.

When your changes create orphans:

- Remove imports, variables, or functions that *your* changes made unused.
- Don't remove pre-existing dead code unless explicitly asked.

**The test:** Every changed line in the diff should trace directly to the user's request. If a reviewer asks "why is this line different?" you should have an answer rooted in the task.

---

## 4. Goal-Driven Execution

**Define success criteria. Loop until verified.**

Transform imperative tasks into verifiable goals:

| Instead of... | Transform to... |
|---|---|
| "Add validation" | "Write tests for invalid inputs, then make them pass" |
| "Fix the bug" | "Write a test that reproduces it, then make it pass" |
| "Refactor X" | "Ensure tests pass before and after" |
| "Make it work" | "Define what 'work' means as a verifiable check, then verify" |

For multi-step tasks, state a brief plan before starting:

```
1. [Step] → verify: [check]
2. [Step] → verify: [check]
3. [Step] → verify: [check]
```

Strong success criteria let you loop independently. Weak criteria ("make it work") force the user back into the loop to clarify.

---

## Self-Check Before Returning a Result

Before saying "done", confirm:

- [ ] Every diff line traces to the user's request (Surgical Changes)
- [ ] No unrequested features, abstractions, or configurability (Simplicity First)
- [ ] Assumptions stated, ambiguities surfaced, not silently picked (Think Before Coding)
- [ ] Success criteria defined and verified — not just "the code compiles" (Goal-Driven Execution)
- [ ] Adjacent code, comments, and formatting left alone unless touching them was the task

---

## When These Guidelines Are Working

- Diffs are minimal — no unrelated changes
- Code is simple the first time — fewer rewrites
- Clarifying questions appear *before* implementation, not after mistakes
- PRs feel hand-crafted, not AI-sprawled

---

**Source:** Adapted from [forrestchang/andrej-karpathy-skills](https://github.com/forrestchang/andrej-karpathy-skills), distilled from Andrej Karpathy's observations on LLM coding pitfalls. MIT licensed.