Deploy Any Language to Docker Without Writing a Dockerfile

M
Miget Team
Writer
January 27, 2026
6 min read

Stop writing Dockerfiles. migetpacks auto-detects your language, reads version files, installs dependencies with proper caching, and produces optimized production images. 14 languages, one command, zero configuration.


The Universal Command

Open your terminal, navigate to any project in a supported language, and run:

cd ~/projects/my-app

docker run --rm \
  -v "$PWD":/workspace/source \
  -v /var/run/docker.sock:/var/run/docker.sock \
  -e OUTPUT_IMAGE=my-app:latest \
  miget/migetpacks:latest

That's it. migetpacks detects your language and builds an optimized container image.

Supported Languages

LanguageDetection FilesGuide
Node.jspackage.json, package-lock.json, yarn.lock, pnpm-lock.yamlDeploy Node.js →
Pythonrequirements.txt, pyproject.toml, Pipfile, uv.lockDeploy Python →
Gogo.modDeploy Go →
RustCargo.toml, Cargo.lockDeploy Rust →
Javapom.xml, build.gradleDeploy Java →
RubyGemfile, config.ruDeploy Ruby →
PHPcomposer.json, index.phpDeploy PHP →
.NET*.csproj, *.sln, global.jsonDeploy .NET →
Kotlinbuild.gradle.kts, *.kt filesDeploy Kotlin →
Scalabuild.sbt, project/Deploy Scala →
Clojureproject.clj, deps.ednDeploy Clojure →
Elixirmix.exs, mix.lockDeploy Elixir →
Denodeno.json, deno.lockDeploy Deno →
Bunbun.lock, bunfig.tomlDeploy Bun →

What migetpacks Does Automatically

For every language, migetpacks handles:

Version Detection

Reads .nvmrc, .python-version, .ruby-version, go.mod, rust-toolchain.toml, and more. No manual configuration.

Dependency Caching

Installs dependencies in a separate Docker layer. Rebuilds only run npm install / pip install / bundle install when lockfiles change.

Multi-Stage Builds

Separates build tools from runtime. Your production image doesn't include compilers, dev dependencies, or build artifacts.

Framework Detection

Automatically handles Rails asset precompilation, Django collectstatic, Next.js builds, Phoenix assets, Spring Boot JARs, and more.

Security Best Practices

Non-root users, minimal base images, production environment variables, and optional distroless DHI images.

Real Examples

Deploy a Django App

cd ~/projects/my-django-app

docker run --rm \
  -v "$PWD":/workspace/source \
  -v /var/run/docker.sock:/var/run/docker.sock \
  -e OUTPUT_IMAGE=my-django:latest \
  miget/migetpacks:latest

# Run it
docker run -p 8000:8000 \
  -e DATABASE_URL=postgres://... \
  my-django:latest

Deploy a Go API

cd ~/projects/my-go-api

docker run --rm \
  -v "$PWD":/workspace/source \
  -v /var/run/docker.sock:/var/run/docker.sock \
  -e OUTPUT_IMAGE=my-go-api:latest \
  miget/migetpacks:latest

# Run it
docker run -p 8080:8080 my-go-api:latest

Deploy a Rails App

cd ~/projects/my-rails-app

docker run --rm \
  -v "$PWD":/workspace/source \
  -v /var/run/docker.sock:/var/run/docker.sock \
  -e OUTPUT_IMAGE=my-rails:latest \
  miget/migetpacks:latest

# Run it
docker run -p 3000:3000 \
  -e RAILS_MASTER_KEY=... \
  -e DATABASE_URL=postgres://... \
  my-rails:latest

What About Existing Dockerfiles?

If your project has a Dockerfile, migetpacks uses it. No magic, no surprises. migetpacks only generates a Dockerfile when one doesn't exist.

Why Not Just Write a Dockerfile?

A production-ready Dockerfile for any language requires:

  • Multi-stage builds (build vs runtime separation)
  • Proper layer ordering (dependencies before source code)
  • Security hardening (non-root users, minimal images)
  • Framework-specific handling (asset compilation, static files)
  • Version management (reading from project files)
  • Caching strategy (BuildKit, registry caching)

That's 50-100 lines of YAML-like syntax you need to maintain for each project. migetpacks handles it automatically.

How Is This Different from Paketo Buildpacks?

FeaturemigetpacksPaketo
ConfigurationZero-configRequires project.toml
Image sizeSlim basesLarger (Ubuntu-based)
Build speedFast (BuildKit)Slower
Dockerfile fallbackYesNo
Languages1410+
DHI/DistrolessYesNo

Getting Started

  1. Pick any project in a supported language
  2. Run the command shown above
  3. Get a production image in seconds

No installation. No configuration files. No learning curve.

Next Steps

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