Physician-Developer Academy

Medicine needs more physicians who can build.

Doctors Who Code is a guided learning platform for physicians who want to understand software, use AI with judgment, and build clinical tools that survive contact with real practice.

Find your starting point Browse the article archive
Written from
Maternal-Fetal Medicine practice
Built by
Chukwuma Onyeije, MD, FACOG

Learning Paths

Begin with the gap you need to close.

The archive contains the full body of work. These paths give selected articles an instructional order and a project at the end.

Path 1

Learn to Code

Build the habits and technical vocabulary required to turn a bounded problem into working software.

For
Physicians with little or no programming experience.
Outcome
Create, version, and explain a small project that solves one problem you understand.
1 course 4 lessons 27 min View path
Path 2

Use AI in Medicine

Move from isolated prompts to observable clinical workflows with deliberate human checkpoints.

For
Physicians who already use ChatGPT or another general-purpose AI tool.
Outcome
Design an AI-assisted workflow that protects clinical judgment, data quality, and accountability.
6 courses 28 lessons 358 min View path
Path 3

Build Medical Software

Translate clinical rules and workflow knowledge into tested, deployable tools.

For
Physicians ready to build applications for clinical or operational use.
Outcome
Take a bounded clinical need from workaround to tested software with an explicit deployment boundary.
2 courses 10 lessons 89 min View path

Featured Start Here Guide

One path. One course. One finished build.

Do not begin by trying to understand the entire software landscape. Choose the path that matches your present work. Complete its first course in order. Build the project before adding another course.

Open Start Here
  1. 01
    Locate the gapCode, AI workflow design, or medical software.
  2. 02
    Follow the sequenceLessons are ordered by dependency, not publication date.
  3. 03
    Produce the artifactA utility, workflow map, or tested calculator.

Physician-Built Projects

The argument is visible in the systems.

The platform teaches from working examples built inside clinical practice, not from abstract product exercises.

Clinical Decision Support

FGRManager

SMFM fetal growth restriction guidance translated into a bedside delivery-timing tool.

View project

Open Medical Education

OpenMFM

Open-source maternal-fetal medicine education, clinical references, and physician-built tools.

View project

Clinical Workflow Systems

CodeCraftMD

Physician-led documentation, coding, and workflow architecture built from clinical practice.

View project

Latest from the Journal

The work continues between courses.

Browse all articles
A sleek developer interface showing structured clinical notes transforming into clean Markdown, Git commits, and an interconnected knowledge graph
Physician Development Featured

Why Every Physician-Developer Should Learn Markdown

Markdown is not just a writing format. For physician-developers, it is the connective tissue between clinical thinking, documentation, GitHub, AI workflows, and build-in-public learning.

· 7 min read
physician-developermarkdowndoctors-who-code
A telephone waveform flows through memory and tool modules to an amber human-review checkpoint on a physician-developer workbench.
Agentic AI Featured

I Built an AI Agent. Now I Am Building the Laboratory Around It.

The Doctors Who Code phone bot led to AgenticBuilderMD: a public laboratory for learning agents, tools, memory, and human checkpoints through practical builds.

· 9 min read
AI AgentsPhysician BuildersAgenticBuilderMD
A telephone handset connecting directly to an illuminated agentic workflow network with audio waveforms, knowledge nodes, and structured clinical notes
Agentic AI Featured

I Gave Doctors Who Code a Phone Number

DWC-Bot began as a voice assistant for Doctors Who Code. It is becoming an experiment in voice-first interfaces, second-brain capture, and physician-built agentic computing.

· 7 min read
Artificial IntelligenceAI AgentsVoice AI
Physician reviewing glucose-monitoring educational materials beside the title: I Had a Clinical Presumption. I Built Tools to Examine It.
Technology Featured

I Had a Clinical Presumption. I Built Tools to Examine It.

A question about glucose monitoring became an evidence review, two presentations, and a lesson in why clinical responsibility includes the interface.

· 6 min read
Physician DevelopmentEvidence-Based MedicineClinical Research