Code
Generate Dockerfiles for any stack
Describe your application stack and get a production-ready Dockerfile and optional Docker Compose config.
For the best results: Describe your app, language, runtime, dependencies, exposed port, and whether it needs a multi-stage build. The AI generates a production-ready Dockerfile.
What is Dockerfile Generator?
Dockerfile Generator is a free AI coding assistant that turns a description of your application stack into a production-ready Dockerfile and optional Docker Compose config. Each request is handed to a code-specialized model chosen for the task, returning working code, bug fixes, and explanations in any programming language in seconds. You paste and go, with no login and nothing to install, and the code you share is not retained once the session ends.
- ✦Paste code and go, no login, nothing to install
- ✦Code-specialized models are selected per request automatically
- ✦Your code is not retained after the session ends
Models: It routes across strong coding models including Llama, Gemini and Mistral families, picking the best available one per request. The exact model used is shown after every response.
See it in action
You are containerizing a Node service for the first time and want an image that is small and does not run as root.
What you type
Node 20 Express app, uses pnpm, compiles TypeScript with a build step, listens on port 3000, talks to a Postgres database
What you get
# syntax=docker/dockerfile:1 FROM node:20-alpine AS build WORKDIR /app RUN corepack enable COPY package.json pnpm-lock.yaml ./ RUN pnpm install --frozen-lockfile COPY . . RUN pnpm run build FROM node:20-alpine WORKDIR /app RUN corepack enable COPY package.json pnpm-lock.yaml ./ RUN pnpm install --prod --frozen-lockfile COPY --from=build /app/dist ./dist USER node EXPOSE 3000 CMD ["node", "dist/index.js"] # docker-compose.yml also generated with a postgres:16 service and a shared network.
Tip: The multi-stage split matters most here: build with dev dependencies, then copy only dist and prod modules into the final image so your TypeScript compiler and types never ship. Add a .dockerignore for node_modules and .git or the COPY . . step will balloon the build context.
Use cases
What people use it for
Containerise a Node API for its first cloud deployment without learning Dockerfile syntax from scratch.
Shrink a Python app's bloated image with a proper multi-stage build.
Run your app, database and cache together locally with one generated Compose file.
Who uses Dockerfile Generator?
Developers new to Docker
getting a working container for their app without piecing one together from a dozen half-matching blog posts
DevOps engineers
drafting a lean multi-stage build for a new service to slim the image and shrink the attack surface
Side-project makers
packaging a hobby app so it runs the same on a friend machine or a cheap cloud host as it does locally
How it works
- 1Paste your code or describe what you need built.
- 2A code-specialized model writes, fixes, or explains it.
- 3Copy the code out, or ask follow-ups to iterate on it.
Tips for the best results
- Specify your language, framework, version and package manager exactly; Node 20 with pnpm versus Node with npm changes the install steps and the base image.
- Say how your app starts and which port it listens on, so the generated CMD and EXPOSE lines match how it actually runs.
- Ask for a multi-stage build and a matching dockerignore file when image size or build speed matters, since both keep the final image lean.
- List anything the app needs at runtime, such as environment variables, a database connection or system libraries, so the Dockerfile does not build cleanly then fail on first start.
- When a build fails, paste the error and the Dockerfile back together; the failing step and its message usually pinpoint a missing dependency or a wrong path.
FAQ
Frequently asked questions
What details about my stack should I provide?
Language and version, framework, package manager, the build step if there is one, the port your app listens on, and any services it depends on. Mention your deployment target too, a Dockerfile bound for a managed cloud platform can differ from one destined for your own server.
What makes the output 'production-ready' rather than just working?
The habits that separate real Dockerfiles from tutorial ones: a sensibly small base image, dependency layers ordered for build caching, multi-stage builds that keep compilers out of the final image, and running as a non-root user. You still need to build and test it, good patterns aren't a substitute for verification.
When do I need Docker Compose as well?
The moment your app stops living alone. If development needs a database, cache or message queue running alongside, a Compose file starts the whole set with one command and wires the networking between them. For a single self-contained service, the Dockerfile by itself is enough.
The image won't build, what now?
Paste the failing step's error output back in the same session. Build failures usually come from drift: a base image tag that moved, a system package renamed, a lockfile the Dockerfile didn't copy. Each error message narrows things down, and one or two rounds normally gets a clean build.
Can it improve a Dockerfile I already have?
Drop in your current file and describe what hurts (slow builds, a huge image, secrets baked into layers) and you'll get a rewritten version with the reasoning explained. Comparing the two side by side is also a fast way to learn which Docker habits you've been missing.
Is this Dockerfile generator free and does it need sign up?
Yes, it is free with no account, sign-up or payment and no limit behind a login. Describe your stack and get a Dockerfile you can copy into your project. It writes the file from your description; you build and run it yourself, so review the base image and steps before shipping to production.
Can it write a multi-stage build to shrink my image?
Yes. Ask for a multi-stage build and it separates the build tools from the final runtime, so compilers and dev dependencies stay out of the shipped image. Tell it your language and whether you compile or bundle, and it picks a slim base image and copies only the artefacts the running app needs.
Does it include security best practices like a non-root user?
Yes, when you ask for a production-ready build. It can add a non-root user, pin the base image to a specific tag, order layers so dependencies cache well and keep secrets out of the image. Mention any compliance needs you have so it leans towards the more locked-down options rather than the quickest ones.
What are the usage limits?
Code tools are text tools, so they are unmetered during the current free launch phase, iterate on a bug or generate as many drafts as the work needs. A short per-minute limit guards against scripted abuse only. Paid plans with higher limits and priority model access are coming soon.
Also useful
Related free AI tools
More Code tools






