Insights

Technical knowledge from ZarkiTech: AI, software engineering, React Native, product development, and the systems operators actually run.

• How We Built an AI Vehicle Inspection System From 10 Photos — A production-minded approach to vehicle condition capture: ten photos, a constrained vision pipeline, and the booking workflow a dealership can actually run.
• React Native vs Native Development in 2026 — When a shared React Native codebase is the right production bet, and when iOS and Android should still be native — written from apps we actually keep in production.
• What We Learned Building Software for Gaming Platforms — Field notes from shipping software around games: identity, wallets of attention, live ops, and why a gaming client is not a normal CRUD app with a darker theme.
• MCP and the Future of AI-Assisted Software Development — Model Context Protocol is not a chatbot feature. It is how tools, repos, and internal systems become callable — and why that changes how a small studio ships.
• The Real Cost of Building an MVP in 2026 — What actually costs money when a first version ships in weeks: scope, integration surface, distribution, and the team that still has to run it — without a fake price list.
• Expo vs Bare React Native for Production Apps — Expo is no longer the training-wheels SDK. Here is when we stay on Expo for production, and when we eject to a bare React Native app with native projects in git.
• Building Scalable Booking Platforms — Bookings look like a calendar widget. They are actually inventory, payments, and dispute state. How we model that for dealerships, trainers, and anything with a scarce slot.
• How We Design Production-Ready NestJS Backends — The NestJS shape we keep using for production APIs: modules as boundaries, boring auth, explicit events, and observability you can run at 2am.