'llm-coding' 검색 결과

Guide AI coding work toward simple implementations, focused edits, and explicit assumptions. Use it when writing, reviewing, or refactoring code to keep changes tied to the request and define success through tests or other concrete checks.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Keeping bug fixes limited to the necessary code
• Simplifying code that has become overcomplicated
• Making implementation assumptions explicit

Behavioral guidelines to reduce common LLM coding mistakes. Use when writing, reviewing, or refactoring code to avoid overcomplication, make surgical changes, surface assumptions, and define verifiable success criteria.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Behavioral guardrails to reduce common LLM coding mistakes with a caution-first approach.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Behavioral guidelines to reduce common LLM coding mistakes. Use when writing, reviewing, or refactoring code to avoid overcomplication, make surgical changes, surface assumptions, and define verifiable success criteria.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Behavioral guidelines to reduce common LLM coding mistakes. Use when writing, reviewing, or refactoring code to avoid overcomplication, make surgical changes, surface assumptions, and define verifiable success criteria.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.