Skip to main content

Machine Dialect™ - Natural language programming in Markdown

Project description

Machine Dialect™

The Machine Dialect™ programming language is designed to look like natural language and feel like structured documentation. It is written in Markdown and intended to be both human-friendly and AI-native — readable by people, generatable and parsable by machines.

⚠️ ALPHA VERSION ⚠️

The Machine Dialect™ language is currently in ALPHA stage. We are rapidly iterating on the language design and implementation. During this phase:

  • Breaking changes will be frequent and without deprecation warnings
  • The syntax and semantics are still evolving based on user feedback
  • APIs and compiler behavior may change between any versions
  • No backward compatibility is maintained during alpha

We encourage experimentation and feedback, but please be aware that code written today may require updates to work with future versions.

Table of Contents

Why Another Programming Language?

Modern programming languages were made for humans to instruct machines. But now that machines can understand and generate human-like language, it's time to rethink the language itself.

The Machine Dialect™ language is designed for a world where:

  • AI writes most of the code, and humans supervise, modify, and approve
  • Code is visually readable, even by non-programmers
  • The structure of the program is as intuitive as a document, and lives comfortably inside Markdown files

The Philosophy of Machine Dialect™

  • Natural structure: Programs are written as paragraphs, headings, lists — not brackets, semicolons, and cryptic symbols
  • AI-first: Syntax is deterministic enough for parsing, but optimized for LLMs to generate and understand effortlessly
  • Human-friendly: Uses everyday words over technical jargon. Markdown keeps everything readable, diffable, and renderable
  • Self-documenting: Looks like pseudocode. Reads like an explanation of what the code does

Installation

From PyPI (Recommended)

pip install machine-dialect

From Source

For development installation, please see our Contributing Guide for detailed setup instructions.

Getting started

Writing Your First Program

Create a file hello.md:

Define greeting as Text.
Set greeting to "Hello, World!".

Say greeting.

Compiling and Running Programs

The Machine Dialect™ toolchain provides a complete toolchain for compiling and executing programs:

# Compile a .md file to bytecode (.mdbc)
python -m machine_dialect compile hello.md

# Compile with custom filename (main)
python -m machine_dialect compile hello.md -o main.mdbc

# Run a compiled bytecode file
python -m machine_dialect run hello.mdbc

# Interactive shell (REPL)
python -m machine_dialect shell

Contributing

We welcome contributions! Please see our Contributing Guide for detailed information.

License

This project is licensed under the Apache License, Version 2.0 - see the LICENSE file for details.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

machine_dialect-0.1.0a2.tar.gz (487.2 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

machine_dialect-0.1.0a2-py3-none-any.whl (577.4 kB view details)

Uploaded Python 3

File details

Details for the file machine_dialect-0.1.0a2.tar.gz.

File metadata

  • Download URL: machine_dialect-0.1.0a2.tar.gz
  • Upload date:
  • Size: 487.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for machine_dialect-0.1.0a2.tar.gz
Algorithm Hash digest
SHA256 57e689d34b1c1d37e8688885397997ae02a2a15dc9f9e2523eebd134f6f42869
MD5 85e1f25e6d5b689e238099f0f24c20ed
BLAKE2b-256 8d1a55e425e24e7f6457595fffbcb5800d861c03e98910260419ab8e30079a53

See more details on using hashes here.

File details

Details for the file machine_dialect-0.1.0a2-py3-none-any.whl.

File metadata

File hashes

Hashes for machine_dialect-0.1.0a2-py3-none-any.whl
Algorithm Hash digest
SHA256 e258accaba620ec481134a322ef7611f77e6a00c5211abb9c3e6c3814600304c
MD5 88626cd89249a276ac5fb53ed1af8439
BLAKE2b-256 65c42fd976f525117d2311d975c15a2b9eebfd80fb65300bc0c4c084f30481fa

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page