Hazem Abbas is a physician, AI developer, author here where he writes about open-source healthcare technology, privacy-first AI, and the intersection of medicine and machine learning. Linux-first user
Artificial Intelligence (AI)
Building an app in the age of agentic AI is incredibly fast, but it can also become incredibly expensive. If you've ever used Claude Code, Cursor, or other agentic coding tools, you know the drill: you start a session, watch the AI write beautiful code, and then-three prompts
Medico-Legal
Navigating a medico-legal claim can feel like walking through a maze blindfolded. Between complex medical jargon, endless paperwork, and strict legal deadlines, it is easy to feel overwhelmed. However, Artificial Intelligence (AI) has emerged as a powerful ally for patients. It does not replace your lawyer or doctor, but it
Cybersecurity
If you’ve spent any time in developer circles lately, you’ve probably noticed a massive shift in how teams are architecting their applications. More and more of my developer friends, startup founders, and engineering teams are quietly, and in some cases, completely, moving parts of their infrastructure over to
Artificial Intelligence (AI)
What is Loop Engineering? Loop Engineering is a paradigm shift in how developers interact with AI coding agents (such as Claude Code, Codex, Grok, Cursor, etc.). Instead of manually writing individual prompts for every task, you design automated systems ("loops") that continuously prompt, orchestrate, and manage the AI
Healthcare
Every day, I switch between two very different worlds. In the clinic, I wear the white coat, holding a patient’s hand, listening to their heartbeat, and making life-altering medical decisions. Later, I take off the coat, put on my developer hat, and stare at lines of code, designing AI
Healthcare
Almost all modern healthcare institutions are using cloud-based medical APIs by default to enable clinical text analysis and patient data processing. These are proprietary, closed-source services that require sending sensitive Protected Health Information (PHI) to third-party vendors. They are used because they offer powerful Natural Language Processing (NLP) capabilities without
Healthcare
Almost all modern healthcare institutions are relying on legacy Electronic Health Record (EHR) systems by default to manage patient data and clinical workflows. These are often obsolete, monolithic pieces of software that were built decades ago, long before the advent of cloud computing or artificial intelligence. They form the backbone
The sudden transition of Artificial Intelligence from experimental pilots to core clinical workflows has created a major regulatory and liability vacuum. As a professional with a background in both medicine and engineering, I see this shift not just as a technological upgrade, but as a fundamental restructuring of medical responsibility.
Healthcare
For years, the promise of digital health felt like a bait-and-switch. We were told that Electronic Health Records (EHR) would streamline our workflows, make data accessible, and revolutionize patient care. Instead, they built a digital wall between physicians and the human beings sitting on the examination table. As a medical
Articles
For auto enthusiasts, the need for reliable car storage solutions is paramount to safeguard their prized vehicles. Whether dealing with a classic car collection or a high-performance sports car, finding the right storage option is crucial to maintaining their value and condition. This guide covers essential aspects of finding and
Articles
PowerPoint still dominates meetings, yet most engineers treat it like legacy code that never gets refactored. Developer Sergio Florez notes, “If you've ever built a presentation in PowerPoint… you know the manual work: dragging boxes, designing every slide by hand… You can git diff your source code — but
Healthcare
Patient experience (PEX) is foundational to reputation and revenue cycle management in healthcare. PEX is built on trust, with doctors routinely discussing sensitive information, such as cancer screenings, heart disease symptoms, and surgery follow-ups. Patients also rely on immediate updates on appointments and health statuses, making automation integral to proactive