@andersonleite
Engineer
Nothing here yet.
Nothing here yet.
Jan 20 路 6 min read 路 Previously, I built a RAG Search System for a Japanese Learning App with Next.js and OpenAI, a platform that collects episodes from a Japanese TV show and enables search for Japanese words that you'd like to study by listening to the pronunciation in...
Join discussionJan 12 路 3 min read 路 Introduction In modern web applications, your frontend TypeScript types can become silently wrong the moment your Backend for Frontend (BFF) changes its response structure鈥攁nd you won't know until runtime. The Problem Your React app has a fundamental...
Join discussionJan 8 路 3 min read 路 The Problem Imagine you're logged into bank.com. While browsing the web, you visit evil.com which contains this innocent-looking link: Win a Free iPhone! 馃巵 When you click, your browser sends the request to bank.com with your authentication cookies a...
Join discussionJan 7 路 4 min read 路 Introduction: The Problem with Basic RAG When building [Kaiwakai](https://www.kaiwakai.com/), a Japanese learning application, I implemented a RAG (Retrieval-Augmented Generation) system to help users search through podcast transcripts and vocabulary...
Join discussionDec 26, 2025 路 5 min read 路 Introduction Kaiwakai is a Japanese language learning app that helps users practice listening through video content. Each lesson includes a YouTube video, bilingual transcripts, and vocabulary lists organized by JLPT level. While building the app, I ...
Join discussion