
What happened
PitchiPT, a physical therapist of over 10 years, started full-scale AI-assisted programming around June 2026 and now runs Codex from a phone to build apps and automation systems.
Why it matters
AI coding tools have lowered the barrier enough that a non-engineer in a regulated clinical field can build and ship tools, such as a search service for therapy literature and guidelines.
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PitchiPT's path to development ran through two earlier failures: he left a university electronics and information engineering program after a year, and in 2021 gave up on building a website in HTML and JavaScript because every problem required stopping to search for an explanation. The turn came in March 2026, when he began using generative AI to write and revise articles on rehabilitation, then asked whether the same back-and-forth could move programming forward.
Within months he had moved from simple apps to automating the work itself, and in July 2026 installed Linux on a used desktop PC. What he describes is not effortless creation but a repeated cycle of breakage: adding a feature can corrupt another, and yesterday's working code can fail today. That experience led him to study testing, change management, and safety rather than simply delegating to AI.
His stated motivation is practical. Physical therapy is a licensed and relatively stable profession, but the medical and rehabilitation industry operates under official fee schedules, so prices cannot rise freely with inflation. With children to raise, he wants a second skill set — one he says he is currently acquiring mostly because it is fun.
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