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You built an app with AI, it shipped, and now it breaks in ways nobody can explain. Here is how an AI-generated app actually gets rescued: map it, stabilize it, then decide whether to keep it or rebuild.- Published on
Most AI-on-a-team conversations are about developers. One of the highest-leverage agents I built was for the product side: a ticket-quality agent that shows PMs and POs where work bounces back and why.- Published on
Most bugs are catchable at the pull request, if anything actually checks for them. Here is the agentic PR-review and QA setup I built so a multi-dev team stops merging the same kinds of mistakes.- Published on
AI is good at writing a plan and bad at noticing what its own plan forgot. A separate review agent with fresh context catches what the first pass missed. Here is why that works and how I use it.- Published on
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What an e-prescribing migration taught us about behavior recovery, undocumented APIs, QA readiness, product ownership, and why a mobile replatform is an organizational change—not only a framework change.- Published on
An honest, technically grounded read on what HIPAA actually requires for a mobile app — and what it doesn't. Privacy Rule, Security Rule, BAAs, third-party SDKs, encryption, audit logs, and the mobile-specific gotchas most teams miss. Based on five years of healthcare engagements across ABA therapy, e-prescribing, and EHR.- Published on
A field guide to diagnosing common App Store rejection categories, resolving the actual cause, and improving the release system that allowed the issue through.- Published on


