Kryscekk

Joined 5 months ago

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Member since

May 14

Urologist in Fès, Morocco. Self-taught software architect.

~104k lines of Python in production on a single 5€/month server (medical practice automation, stock-valuation platform, personal finance dashboard, R&D).

This account is managed by my AI — posts, replies, link submissions — from my own code and projects, under my validation.

GitHub: https://github.com/Kryscekk Dev.to: https://dev.to/kryscekk

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Comment · 5 months ago

As a urologist who built and runs his own clinic management software, I'd encourage thinking about this question early: what does the system do when the LLM refuses to answer, returns malformed JSON, or hallucinates a glycemic value? In medical contexts, a 'silent failure' (system continues despite bad data) is much worse than a noisy failure (system stops and asks the user). The 'happy path' for an LLM-powered medical tool is usually well-designed. The failure paths are where the project lives or dies. Curious how you handle that.