A practical look at AI disclosure laws, the EU AI Act transparency rules, deepfakes, scams, and whether hiding AI use should be illegal.

A practical guide to building apps people genuinely enjoy using by validating the problem, designing for value, shipping fast, and improving with real user feedback.

A practical guide to making better AI flyers by reducing clutter, using strong design references, and finishing text and layout in Canva, Photoshop, or another design app.

A practical breakdown of why Apple is rejecting low-value apps, what App Review looks for, and how to make your app feel worthy of the App Store with real native value.

A practical breakdown of three free services I use in mobile apps: OneSignal for push notifications, RevenueCat for subscriptions, and Sentry for crash reporting.

A practical breakdown of the resume structure, storytelling, keywords, and proof points that helped me land big tech interviews and offers.

A personal and historical look at four influential programming languages - PHP, JavaScript, C#, and Python - exploring their impact on the web, modern applications, and AI.

Learn how non-designers can build polished apps by turning inspiration into AI-generated style guides, using tools like Uizard, Canva, Figma, and language models while adding human creativity.

Explores why popular AI tools often seem buggy, examining the move fast and break things culture, continuous deployment, integration complexity and ways to balance speed with reliability.

An in-depth exploration of the Claude Code source leak, examining what was revealed, why it matters, security lessons, and the human factors behind the incident.