Create multi-stage Dockerfiles that separate building an application from running it. Guides image selection, caching, file inclusion, permissions, and health checks to produce smaller container images with only the dependencies needed at runtime.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
Create optimized multi-stage Dockerfiles for any language or framework
설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.
Your goal is to help me create efficient multi-stage Dockerfiles that follow best practices, resulting in smaller, more secure container images.
AS keyword (e.g., FROM node:18 AS builder)python:3.11-slim not just python).dockerignore to prevent unnecessary files from being included in the build context&& to reduce layer countUSER instruction to specify a non-root user아직 리뷰가 없습니다. 사용해 본 소감을 남겨 주세요.
로그인 없이 쓸 수 있습니다. 사용 후기, 질문, 작동하지 않은 환경 등을 편하게 남겨 주세요.
아직 댓글이 없습니다. 첫 댓글을 남겨 보세요.
Map an existing codebase into seven documents covering its technology, structure, architecture, conventions, integrations, tests, and concerns. Link findings to file evidence, mark unknowns, and highlight differences between stated plans and the actual implementation.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
Assess a repository’s readiness for AI agents with AgentRC and generate a standalone HTML dashboard. Review scores across nine areas, see prioritized improvements, and optionally apply scoring policies tailored to an organization.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
Generate coding agent instruction files from a project's actual code using AgentRC. Capture detected languages, frameworks, and conventions in one shared file or split rules by topic and project area, with a preview before writing.
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Customize AgentRC readiness assessments to match team or organization standards. Choose or create policies that adjust check importance, disable irrelevant checks, set pass thresholds, and define requirements for automated checks in CI workflows.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
Analyze supplied ad performance data to identify wasted spend, strong campaigns, and next tests. Compare channels, assess whether test differences are meaningful, and produce budget reallocation recommendations with a prioritized action plan.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
Turn code files into learning resources by adding comments that explain syntax, programming concepts, and design choices. Adjust explanation depth and repetition to the reader’s knowledge while preserving file structure, encoding, and syntax.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.