📖 What is Dockerfile Linter?
Dockerfile Generator creates production-ready Dockerfiles based on your application type. Select your language/framework (Node.js, Python, Go, Java), configure settings, and get a Dockerfile following Docker best practices — multi-stage builds, non-root users, layer caching and minimal base images. Use it to containerize applications quickly without memorizing Dockerfile syntax. Everything runs in your browser.
💡 Example
Input
Language: Node.js
Port: 3000
Package Manager: npm
Output
FROM node:20-alpine
WORKDIR /app
COPY package*.json ./
RUN npm ci --production
COPY . .
EXPOSE 3000
CMD ["node", "server.js"]
🛠️ Common Use Cases
- Creating Dockerfiles for new projects without memorizing syntax
- Following Docker best practices (multi-stage, non-root, layer caching)
- Generating optimized Dockerfiles for CI/CD pipelines
- Learning Dockerfile structure and common patterns
- Quickly containerizing applications for deployment
📝 Docker Best Practices
- Use
alpine or slim base images for smaller containers - Copy package files first, then run install — this caches dependencies
- Use
.dockerignore to exclude node_modules, .git, etc. - Run as non-root user for security
- Use multi-stage builds to separate build and runtime
⚠️ Common Mistakes
- No .dockerignore — without it, COPY includes everything (node_modules, .git), creating bloated images
- Running as root — containers should use a non-root user for security
- Not caching dependencies — COPY everything before npm install means reinstalling on every code change
❓ Frequently Asked Questions
Should I use alpine or slim base images? ▾
Alpine produces smaller images (~5MB vs ~100MB for Debian). Use alpine unless your app needs glibc-specific libraries, in which case use slim.
What is a multi-stage build? ▾
Multi-stage builds use separate stages for building (with dev dependencies) and running (only production files). The final image is much smaller.
How do I reduce Docker image size? ▾
Use alpine base images, multi-stage builds, .dockerignore, and combine RUN commands to reduce layers.
Is my data private? ▾
Yes — all processing runs entirely in your browser. Your data is never sent to any server.
Is this tool free? ▾
Completely free — no login, no usage limits, works offline once loaded.
Yes — completely free, no login required, no usage limits.
Is my data private? ▾
Yes — all processing runs in your browser. Your data is never sent to any server.
Does it work offline? ▾
Yes — once the page is loaded, the tool works without an internet connection.