How Wasmer used Codex to build a Node.js runtime for the edge

Wasmer, a company with the ambitious goal of an edge computing platform, successfully developed Edge.js, a Node.js runtime for AI and edge computing. This project, which would have taken a year without AI assistance, was completed in just two weeks with the help of Codex, an AI tool. This breakthrough allows developers to run JavaScript applications within a WebAssembly sandbox without Docker, making Wasmer the first cloud host to provide full Node.js at the edge layer. This achievement demonstrates the potential for small teams to accomplish complex tasks rapidly using AI.

Initially, Wasmer engineers were skeptical of AI. However, their experiments with Codex yielded impressive results, increasing development speed by 10 to 20 times. As Codex's capabilities evolved, the team spent less time on manual coding and more time guiding the AI, moving beyond the traditional IDE.

Codex played a crucial role throughout the entire development process of Edge.js, from initial architectural design to final polishing. It also proved invaluable in debugging, quickly identifying root causes of bugs and proposing solutions—even for complex issues typically requiring specialized expertise. Codex demonstrated the ability to master console logs, trace calls, and low-level debuggers like LLD, accessing assembly-level information.

Before Edge.js, running a JavaScript runtime at the edge was not feasible. Furthermore, without Codex, the ambitious timeline and scope of this project would have been impossible for the Wasmer team. This highlights how AI can empower smaller companies to achieve feats previously only possible for larger organizations.

Emboldened by their success, the Wasmer team is now looking to tackle even more challenging problems, leveraging AI to push the boundaries of what's possible in edge computing.