Learn to Code
Build the habits and technical vocabulary required to turn a bounded problem into working software.
Physician-Developer Academy
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.
Learning Paths
The archive contains the full body of work. These paths give selected articles an instructional order and a project at the end.
Build the habits and technical vocabulary required to turn a bounded problem into working software.
Move from isolated prompts to observable clinical workflows with deliberate human checkpoints.
Translate clinical rules and workflow knowledge into tested, deployable tools.
Featured Start Here Guide
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 HerePhysician-Built Projects
The platform teaches from working examples built inside clinical practice, not from abstract product exercises.
Clinical Decision Support
SMFM fetal growth restriction guidance translated into a bedside delivery-timing tool.
View projectOpen Medical Education
Open-source maternal-fetal medicine education, clinical references, and physician-built tools.
View projectClinical Workflow Systems
Physician-led documentation, coding, and workflow architecture built from clinical practice.
View projectLatest from the Journal
The Doctors Who Code phone bot led to AgenticBuilderMD: a public laboratory for learning agents, tools, memory, and human checkpoints through practical builds.
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.
A question about glucose monitoring became an evidence review, two presentations, and a lesson in why clinical responsibility includes the interface.
AI agents are making implementation cheaper. In healthtech, the advantage moves to clinicians who can preserve clinical truth and supervise the architecture.