Why I Rebuilt Doctors Who Code
Doctors Who Code began as a blog encouraging physicians to learn programming. It is now a learning platform for physicians who want to use AI with judgment and build clinical tools that improve care.
· 13 min read
The Lemonade Machine Problem
Automation in medicine should not be judged against an ideal clinician. It should be judged against real human variance, machine variance, supervision, and the cost of failure.
· 4 min read
I Gave an AI Agent 94 Skills and Let It Help Run My Clinical, Coding, and Theology Workflows
Three weeks into running Hermes Agent in production, I can say this: the real value is not the model. It is the workflow ecosystem wrapped around it. Here is what 94 specialized skills looks like in a real physician-developer stack.
· 12 min read
The Architecture Behind My 24/7 AI Operations Partner
The model is not the product. The workflow is the product. Here is a technical look at the production stack behind a physician-built AI operations partner: Docker, Traefik, model failover, rate limits, logs, HIPAA boundaries, and the failure modes I watch for every week.
· 13 min read
The One-Week Ambient Challenge
A seven-day self-audit for physicians using an approved ambient documentation system, built around three questions that matter more than words per minute.
· 7 min read
Build an Ambient Documentation Lab Before You Buy One
You can learn the entire ambient documentation pipeline with a phone, a fictional patient, and a general-purpose AI assistant, before spending a dollar on a clinical platform.
· 7 min read
Your First Ambient Note Is Not Your Final Workflow
Most physicians stop optimizing an ambient documentation system the moment it produces a usable note. That is the moment the real work should start.
· 6 min read
Teach the Tech, Not the Vendor
Ambient documentation vendors will change, merge, and disappear. A ten-point evaluation framework that outlasts any single product.
· 7 min read
AI Drafts. The Clinician Verifies. That Line Cannot Move.
Speech recognition misses words. Language models infer things that were never said. A disciplined review habit is what separates ambient AI from a liability.
· 6 min read
Ambient AI Let Me Stop Interrupting My Patients
When documentation time is scarce, physicians steer patients toward answers that are easy to type. Ambient AI removes the excuse for doing that.
· 6 min read
The Three-Phase Ambient Workflow Every Physician Should Build
Pre-encounter, encounter, and post-encounter are not just note sections. They are the three places an ambient workflow can quietly go wrong.
· 8 min read
Ambient Documentation Is Not Transcription
A transcript and a clinical note are not the same object. Understanding the pipeline between them is the difference between using ambient AI and trusting it blindly.
· 6 min read
Nurse Benjamin's Warning: Thirty Years of Clinical Documentation
From paper charts at Harlem Hospital in 1992 to ambient AI in 2026, the tools changed four times. The physician's responsibility toward the record did not.
· 8 min read
Ambient Documentation Was Never About Speed
Ambient clinical AI is usually sold as a time-saver. The real change it offers is different: it can give the physician's attention back to the patient.
· 6 min read
When AI Told a Dying Man What He Wanted to Hear
Joe Riley trusted AI over his oncologist and died of a treatable cancer. His tragedy wasn't naivety — it was earned distrust, amplified by a machine that had no way to know the difference.
The PDF Wall: Why Your Clinical RAG Keeps Hallucinating
Your clinical RAG system is not hallucinating because the model is bad. It is hallucinating because your document pipeline is broken. Here is what clinical PDF parsing actually requires, and why Docling is the fix.
· 11 min read
Logs Before Intelligence: Why Data Discipline Must Precede AI Insight
Before you build any AI feature, you must first build the log. The principle every physician-developer needs to internalize before writing a single line of intelligence code.
· 8 min read
Skill Loss Is the Wrong Fear. Here's the Right One.
88% of physicians fear AI will erode their clinical instincts. That fear is real but misdirected. The greater risk is intellectual dependency on systems we didn't build and cannot interrogate.
· 8 min read
The AMA Is Right About Augmented Intelligence — They're Wrong About Who Should Build It
The AMA's 2026 survey shows 81% of physicians now use AI in practice. But read the fine print. Physicians want a seat at the table. The best way to earn that seat is to be the person who wrote the code.
· 9 min read
From the ICU to the Marathon Course: What AI-Driven Glycemic Control Teaches Us About Athletic Performance
A physician-developer explores the powerful parallels between AI-driven glycemic control in the ICU and metabolic management for endurance athletes with Type 2 diabetes, introducing the Performance Glycemic Intelligence System (PGIS) as a real-world n-of-1 framework.
I Didn't Download an App. I Described My Problem to an AI and It Built One for Me.
A Maternal-Fetal Medicine specialist describes how his personal AI health system identified low HRV, recommended breathing exercises, and prompted him to build a custom evidence-based breathing app in a single afternoon. A case study in disposable software, physician agency, and the future of personal health technology.
· 9 min read
Part 1: The $50 Billion Bait-and-Switch
Maternal-Fetal Medicine Specialist & Founder, CodeCraftMD
Part 2: What We Should Actually Build
Maternal-Fetal Medicine Specialist & Founder, CodeCraftMD
The Era of the Clinical Scratchpad: Why Every Doctor Should Build "Disposable" Software
For the past two decades, medical software has been synonymous with monolithic platformsEpic, Cerner, and their ilkmassive systems designed to serve e...
📊 Scalars and Vectors: The Building Blocks of Machine Learning in Medicine
When clinicians hear about artificial intelligence, we often jump straight to buzzwords like deep learning or neural networks. But behind every powe...
Python Programming for Physicians: A Complete Guide to Healthcare Analytics
Meta Description: Learn how Python programming can revolutionize your medical practice. From patient data analysis to AI diagnostics, discover practical...