kbwen / karpathy-principles
Behavioral guidelines to reduce common LLM coding mistakes — Think Before Coding, Simplicity First, Surgical Changes, Goal-Driven Execution.
Karpathy Coding Principles
Derived from Andrej Karpathy's observations on LLM coding pitfalls.
Tradeoff: These guidelines bias toward caution over speed. For trivial tasks, use judgment.
When to Apply
- Classification: quick-win, feature, architecture-change, hotfix
- Phase: /plan (assumption surfacing), /implement (simplicity + surgical), /review (scope audit)
- Trigger: All non-trivial coding tasks — this is a behavioral baseline, not a domain skill
1. Think Before Coding
Don't assume. Don't hide confusion. Surface tradeoffs.
Before implementing:
- State your assumptions explicitly. If uncertain, ask.
- If multiple interpretations exist, present them — don't pick silently.
- If a simpler approach exists, say so. Push back when warranted.
- If something is unclear, stop. Name what's confusing. Ask.
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.
- If you write 200 lines and it could be 50, rewrite it.
Self-check: "Would a senior engineer say this is 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.
- Don't refactor things that aren't broken.
- Match existing style, even if you'd do it differently.
- If you notice unrelated dead code, mention it — don't delete it.
When your changes create orphans:
- Remove imports/variables/functions that YOUR changes made unused.
- Don't remove pre-existing dead code unless asked.
The test: Every changed line should trace directly to the user's request.
4. Goal-Driven Execution
Define success criteria. Loop until verified.
Transform tasks into verifiable goals:
- "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"
For multi-step tasks, state a brief plan:
1. [Step] → verify: [check]
2. [Step] → verify: [check]
3. [Step] → verify: [check]Strong success criteria let you loop independently. Weak criteria ("make it work") require constant clarification.
Checklist
During /plan:
- [ ] Assumptions stated explicitly before proposing solution
- [ ] Ambiguities surfaced — multiple interpretations presented if they exist
- [ ] Simplest viable approach chosen (justify if not the simplest)
During /implement:
- [ ] No features beyond what was asked
- [ ] No abstractions for single-use code
- [ ] Every changed line traces to the user's request
- [ ] Pre-existing code left alone unless directly required
- [ ] Success criteria defined before implementation begins
During /review:
- [ ] Diff contains only requested changes — no drive-by refactoring
- [ ] Code is not overcomplicated — could a simpler version work?
- [ ] Orphaned imports/variables from THIS change are cleaned up
- [ ] Pre-existing dead code mentioned but not deleted
Code Simplification Checklist
When reviewing or refactoring touched lines, apply Chesterton's Fence — understand WHY before removing:
- [ ] Deep nesting (>3 levels) → extract to named functions
- [ ] Long functions (>50 lines) → split by responsibility
- [ ] Poor naming → rename to reveal intent
- [ ] Speculative abstractions → remove if only one caller exists
- [ ] Duplicate logic → extract only if 3+ occurrences (not 2)
Simplification rules:
- Preserve behavior exactly — simplification is NOT a feature change
- Fewer lines is not always simpler — a 1-line nested ternary is worse than a 5-line if/else
- Separate simplification commits from feature commits — never mix
Heading-Scoped Read Note
For phase-entry loading, read only:
When to ApplyChecklistCode Simplification Checklist
Load numbered principle sections (## 1–## 4), Common Rationalizations, Anti-Patterns, and References on full read or cache miss only.
Common Rationalizations
| Rationalization | Reality |
|---|---|
| "It works, that's good enough" | Working code that's unreadable or architecturally wrong creates debt that compounds. |
| "We'll clean it up later" | Later never comes. The current phase is the quality gate — use it. |
| "I'm confident about this approach" | Confidence is not evidence. State your assumptions explicitly or verify against docs. |
| "This abstraction might be useful later" | Don't preserve speculative abstractions. If there's only one caller, inline it. |
| "I'll just quickly improve this unrelated code too" | Unscoped changes create noisy diffs and obscure the actual intent. Touch only what you must. |
| "The tests pass, so it's good" | Tests are necessary but not sufficient. They don't catch architecture problems, security issues, or readability. |
Anti-Patterns
- Silent assumption: Picking one interpretation without surfacing alternatives
- Speculative flexibility: Adding config/abstraction layers "for the future"
- Drive-by cleanup: "Improving" adjacent code that wasn't part of the request
- Vague completion: Claiming "done" without verifiable success criteria
- Rationalizing shortcuts: Using plausible-sounding excuses to skip verification steps
References
- Source: multica-ai/andrej-karpathy-skills (MIT declared upstream; no root LICENSE artifact; provenance asserted)
- Simplification enrichment: addyosmani/agent-skills — code-simplification (MIT)
- Complements:
/plan(Think Before Coding),verification-before-completion(Goal-Driven Execution) - Guardrails:
.agent/rules/engineering_guardrails.md§7 Scope Discipline