24 Chapters, Two Languages, and a Live Event Loop: How I Built a Backend Development Lab with Codex
OpenAI
The author created Runtime Lab, an interactive open-source educational platform for Node.js, NestJS, PostgreSQL, and other backend topics. It features 24 chapters in both Russian and English, using AI agent Codex to generate code and live traces that illustrate runtime behavior. The project helps the author transition from frontend to fullstack development by providing hands-on experiments with real code execution.
The author built Runtime Lab, an interactive educational platform to aid their transition from frontend to fullstack development. It includes 24 chapters across nine sections, covering Node.js runtime internals like Event Loop, Worker Threads, libuv, and memory leaks, as well as NestJS, PostgreSQL, Docker, Kubernetes, Redis, HTTP caching, and Python/CPython. Each chapter provides theory, simplified code, full runtime code, live traces, and production scenarios, with both Russian and English versions. The author used OpenAI's Codex AI agent to generate the initial project and iteratively enhance it, emphasizing that while AI accelerates creation, it still requires review for accuracy. The project has separate dev and prod modes with varying resource limits to prevent server abuse. Despite the platform's usefulness, the author notes that self-education remains a discipline, and tools like this only solve part of the problem.
- Abbreviations
- RSS = Really Simple Syndication
- ACID = Atomicity, Consistency, Isolation, Durability
- IoC = Inversion of Control
- GC = Garbage Collection
Source: Habr — хаб ИИ —
original