Across 1.2 million plans, we watched users trust the AI enough to book and watched them quietly abandon good itineraries for reasons that had nothing to do with itinerary quality. This article is about what separated the two.
We built a booking platform for a client operating in two markets. The core logic, search, availability, and reservations, worked fine. Launch in market one went smoothly. Then came market two, and things started breaking in places we hadn't looked.
Previously, we shared how to integrate a local LLM into a Flutter app. Today, we will add the RAG to the equation.
Claude Opus 4.6 scored 80.84% on SWE-bench Verified in February 2026: the benchmark that measures whether a model can actually fix real GitHub issues. That number matters because it's the point where repo-wide refactoring stops being a party trick and starts being something you can ship with.
Base44 is one of the most talked-about vibe-coding tools right now. You describe what you want, and it generates a working web app: database, UI, and logic included. For the right use case, it’s genuinely impressive.
We spent real time inside Bolt.new, building an actual app from a single prompt. This article is the honest version of what we found: the good, the genuinely impressive, and the parts where you will want a real developer in the room.
Liquid design is often seen as the next generation after responsive design. Instead of adapting only to screen sizes, it also adapts to user behavior, context, and flow.
In this guide, we will show how to integrate a local LLM into a Flutter app and what to consider along the way.
