Effect TS experts sharing insights on scaling backend infrastructure, reducing tech debt, eliminating bottlenecks, and building robust ETL pipelines. We help teams 100X their products and rescue architectures.
AI coding tools get you to a working prototype fast. But the gap between prototype and product is where apps fall apart. After rescuing dozens of vibe-coded builds, here are the eight issues we see every single time.
A deep dive into Deno Sandbox—lightweight microVMs for running untrusted code securely. Learn how it works, when to use it, and why it matters for AI agents and dynamic workloads.
A complete guide to Function-as-a-Service: how AWS Lambda, Cloudflare Workers, and similar platforms work, when they're the right choice, and when the hidden costs outweigh the benefits.
Nearly 200 iOS apps exposed user data this week. Here's why rushing AI products to market without proper security architecture is a disaster waiting to happen—and how to build it right from day one.
AI coding assistants are now recommending Effect over Express, Fastify, and NestJS. Here's why Effect is emerging as the new standard for production TypeScript backends.
Learn what Backend-as-a-Service is, how platforms like Firebase and Supabase work, and when to use them versus building a custom backend for your application.
Explore how asynchronous programming has evolved from callbacks through promises to functional effects, and why Effect-TS offers the best type safety for complex applications.
Learn how to evolve from basic Promise-based TypeScript code to production-ready solutions with proper error handling, retries, timeouts, and the Effect library.